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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 21747
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    Explanations

    phrases indicating a step-by-step action or process

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases emphasizing the concept of "one at a time"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     thereof
    -0.69
    of
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     è£ıè¦ļéĨĴ
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    roxy
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    rox
    -0.52
    uary
    -0.52
    entially
    -0.52
    uably
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    itional
    -0.51
    liest
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    POSITIVE LOGITS
     collaborations
    0.50
    icans
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    sticks
    0.46
     predecessors
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     mates
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     successors
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    bees
    0.44
    ichael
    0.43
     collaboration
    0.43
    Activations Density 0.532%

    No Known Activations