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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. 11-RES-JB
    11. 1792
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    INDEX
    Explanations

    phrases emphasizing significance or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to "big" significance or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Frames
    -0.76
    Reviewed
    -0.73
    gemony
    -0.72
    ptives
    -0.70
    rils
    -0.70
    apons
    -0.65
    ©¶æ
    -0.65
     Abilities
    -0.65
    roma
    -0.65
    brids
    -0.65
    POSITIVE LOGITS
    gie
    1.39
     deal
    1.25
    oted
    1.07
     chunk
    1.03
     difference
    0.99
     undertaking
    0.95
     improvement
    0.94
     mistake
    0.92
     leap
    0.92
     boon
    0.91
    Activations Density 0.077%

    No Known Activations