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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. 0-RES-JB
    11. 14898
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    INDEX
    Explanations

    words related to analyzing and commenting on political situations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of observers in a political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rex
    -0.75
     LOVE
    -0.66
     Lup
    -0.65
    acious
    -0.65
    unia
    -0.64
    selling
    -0.64
     Selling
    -0.62
     DV
    -0.62
    uel
    -0.62
     Theft
    -0.61
    POSITIVE LOGITS
     observers
    3.78
     observer
    3.28
     wat
    1.92
     onlook
    1.86
     spectators
    1.86
     commentators
    1.66
     analysts
    1.58
     Observer
    1.47
     listeners
    1.37
     pundits
    1.36
    Activations Density 0.015%

    No Known Activations