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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. 1-RES-JB
    11. 12964
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    Explanations

    mentions of physical actions or confrontational behaviors

    oai_token-act-pair · gpt-3.5-turbo

    references to jabs or criticisms, particularly in a metaphorical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.77
    mberg
    -0.75
    profit
    -0.74
     Skydragon
    -0.71
    profits
    -0.67
     Marketable
    -0.66
    YL
    -0.66
    teness
    -0.65
    UME
    -0.65
     Organizations
    -0.63
    POSITIVE LOGITS
     jab
    1.53
    bing
    1.18
    bed
    1.03
    rod
    0.94
    ber
    0.91
    glers
    0.88
    jab
    0.87
     elbows
    0.87
    rolet
    0.86
    boxing
    0.85
    Activations Density 0.007%

    No Known Activations