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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. 7-RES-JB
    11. 1535
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nant
    -0.72
    NEY
    -0.65
    ãĥ´ãĤ¡
    -0.63
    LESS
    -0.63
     Rolls
    -0.62
    xit
    -0.61
     Freeze
    -0.61
    orial
    -0.61
    ãĥ¼ãĥĨãĤ£
    -0.61
    ł
    -0.60
    POSITIVE LOGITS
    izabeth
    1.29
    iquid
    1.23
    ibrary
    1.23
    ixir
    1.17
    usive
    1.13
    uding
    0.96
    uded
    0.95
    ijah
    0.95
    ipt
    0.90
    abor
    0.89
    Activations Density 0.019%

    No Known Activations