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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. 4-RES-JB
    11. 15196
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    INDEX
    Explanations

    adjectives conveying strong negative sentiment

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of negative experiences or qualities

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

    No Comments

    Negative Logits
    VO
    -0.90
    tein
    -0.84
    cius
    -0.83
    trl
    -0.83
    PT
    -0.78
    incinn
    -0.77
    venants
    -0.77
    xtap
    -0.77
    zinski
    -0.73
    Lago
    -0.72
    POSITIVE LOGITS
     awful
    0.96
    ness
    0.87
    nesses
    0.87
     adolesc
    0.84
     lot
    0.83
     darn
    0.82
     smelling
    0.80
     traged
    0.79
     metic
    0.78
     crap
    0.78
    Activations Density 0.009%

    No Known Activations