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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. 9-RES-JB
    11. 1768
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    INDEX
    Explanations

    mentions of signs and indications

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest indicators or signs of specific conditions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancies
    -0.77
     swaps
    -0.74
    onyms
    -0.72
     convol
    -0.70
    miah
    -0.66
    avorite
    -0.66
    ategory
    -0.64
    elta
    -0.63
     diction
    -0.63
    venge
    -0.62
    POSITIVE LOGITS
     Signs
    0.83
     of
    0.79
     indicators
    0.77
    posts
    0.76
     signs
    0.76
    Sign
    0.75
     indicating
    0.74
     indication
    0.70
    atory
    0.68
     that
    0.68
    Activations Density 0.074%

    No Known Activations