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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. 6-RES-JB
    11. 11628
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual or their relative frequency in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -0.68
     curfew
    -0.67
     flourish
    -0.63
    YC
    -0.63
    iculty
    -0.62
     Lovecraft
    -0.62
    ļéĨĴ
    -0.61
     frig
    -0.61
    ãģį
    -0.60
     Dangerous
    -0.59
    POSITIVE LOGITS
    kees
    1.18
    wark
    0.99
    andon
    0.99
    oda
    0.96
    ashtra
    0.96
    ril
    0.95
    pling
    0.94
    ban
    0.94
    izon
    0.94
    aya
    0.93
    Activations Density 0.017%

    No Known Activations