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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. 3912
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific entity names and terminology related to entertainment and technology

    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
    Not in Any Lists

    No Comments

    Negative Logits
     attRot
    -0.74
    ":[
    -0.66
    issance
    -0.62
    Ire
    -0.62
     psychiat
    -0.60
     GOODMAN
    -0.60
    theless
    -0.59
    Ń·
    -0.56
    notations
    -0.55
    âĹ¼
    -0.55
    POSITIVE LOGITS
     [-
    0.77
     ->
    0.67
    ;}
    0.62
    escription
    0.62
     [/
    0.61
    )</
    0.61
     */
    0.61
     |--
    0.60
     [+
    0.58
     *)
    0.57
    Activations Density 1.204%

    No Known Activations