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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. 2-RES-JB
    11. 23636
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    Explanations

    numerical percentages or statistics

    oai_token-act-pair · gpt-3.5-turbo

    percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pecially
    -0.83
    etheless
    -0.81
     compan
    -0.78
     neighb
    -0.76
    itiz
    -0.74
     brace
    -0.74
    uras
    -0.74
     shaped
    -0.74
     compr
    -0.73
     lett
    -0.72
    POSITIVE LOGITS
    -+
    0.90
    %)
    0.78
    %
    0.76
    %-
    0.74
    +)
    0.72
     Mehran
    0.72
    âĨij
    0.71
     ABV
    0.69
    -|
    0.68
     Ibid
    0.68
    Activations Density 0.049%

    No Known Activations