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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. 5919
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    Explanations

    words related to serious or negative events or situations

    oai_token-act-pair · gpt-3.5-turbo

    themes related to conflict, societal issues, and challenges within communities

    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
    ificantly
    -0.70
     Same
    -0.64
    Ger
    -0.55
    mbuds
    -0.55
    inarily
    -0.55
     mentions
    -0.55
    cham
    -0.55
     aborted
    -0.54
     Mald
    -0.54
     Rounds
    -0.54
    POSITIVE LOGITS
    smanship
    0.88
    stros
    0.83
    cape
    0.79
    wit
    0.75
    manship
    0.72
     awaits
    0.71
    democracy
    0.70
    .</
    0.70
     await
    0.69
    puter
    0.67
    Activations Density 0.491%

    No Known Activations