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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. 17625
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    INDEX
    Explanations

    topics, events, and entities that attract attention and interest

    oai_token-act-pair · gpt-3.5-turbo

    references to attracting attention or interest

    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
    tta
    -0.95
    cknow
    -0.90
    ©¶æ
    -0.90
    numbered
    -0.71
    ħĭ
    -0.71
    ²¾
    -0.69
     Dise
    -0.68
    agate
    -0.68
     betrayed
    -0.68
     Alone
    -0.67
    POSITIVE LOGITS
     attention
    1.22
     notoriety
    1.03
     ire
    1.03
     traction
    1.01
     viewership
    0.99
     publicity
    0.98
     endorsements
    0.95
     applause
    0.95
     accol
    0.93
     votes
    0.92
    Activations Density 0.186%

    No Known Activations