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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. 8-RES-JB
    11. 2433
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    Explanations

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    formulations of the verb "to be" in various tenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    izable
    -0.82
     Current
    -0.65
     maturity
    -0.63
    ological
    -0.62
     definitions
    -0.62
     entails
    -0.61
     validity
    -0.60
     merits
    -0.60
     newsletters
    -0.60
     Unless
    -0.60
    POSITIVE LOGITS
     able
    1.14
     unable
    1.08
    hes
    1.08
     fined
    0.96
     fortunate
    0.96
     unaware
    0.94
     supposed
    0.92
     tasked
    0.92
     criticized
    0.92
    wolves
    0.91
    Activations Density 0.308%

    No Known Activations