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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. 1-RES-JB
    11. 820
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    joy
    -0.71
     Viking
    -0.67
     Torn
    -0.63
     Angels
    -0.63
     RR
    -0.62
     1977
    -0.62
     shelter
    -0.61
    ARM
    -0.59
     Inner
    -0.59
     1975
    -0.58
    POSITIVE LOGITS
     compet
    1.27
    anooga
    1.06
    emouth
    1.05
    estyles
    1.05
    querque
    1.04
     horizont
    1.02
    encies
    1.01
     challeng
    0.96
    ency
    0.96
    ibilities
    0.95
    Activations Density 0.005%

    No Known Activations