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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. 5636
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    Explanations

    numbers or abbreviations within structured text patterns

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to user interface components and programming elements

    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
    ++++++++++++++++
    -0.71
     Circus
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     Vera
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     Freedom
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     Amen
    -0.64
     GMO
    -0.63
     Paula
    -0.62
     Bucks
    -0.62
     Nam
    -0.61
    MORE
    -0.61
    POSITIVE LOGITS
    ocket
    1.51
    ight
    1.39
    ound
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    own
    1.32
    ream
    1.31
    ategory
    1.31
    eatures
    1.30
    ead
    1.30
    iamond
    1.30
    oad
    1.27
    Activations Density 0.295%

    No Known Activations