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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. 8311
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to commenting and commentary

    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
    Not in Any Lists

    No Comments

    Negative Logits
    icz
    -0.70
     Sinai
    -0.70
     Lansing
    -0.67
    lay
    -0.65
    YP
    -0.65
    red
    -0.64
    nown
    -0.64
     Ethiopian
    -0.63
     Pilgrim
    -0.62
     abduction
    -0.62
    POSITIVE LOGITS
    ariat
    1.21
    aries
    1.09
    ators
    1.01
    ature
    0.96
    atively
    0.92
    arial
    0.90
    ating
    0.86
     sections
    0.86
    atures
    0.85
    Comment
    0.84
    Activations Density 0.043%

    No Known Activations