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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. 3-RES-JB
    11. 9220
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    Explanations

    words related to a broader scope or context than the immediate subject matter

    oai_token-act-pair · gpt-3.5-turbo

    references to a broader or wider scope

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LV
    -0.77
    ILLE
    -0.73
    Armor
    -0.72
    rol
    -0.70
    DVD
    -0.69
     Athlet
    -0.69
    WAR
    -0.68
    CENT
    -0.68
    EVA
    -0.67
    SR
    -0.67
    POSITIVE LOGITS
     than
    1.07
    than
    0.97
    sheets
    0.85
    creen
    0.83
     "$:/
    0.82
     scope
    0.80
     Than
    0.78
    izont
    0.77
     maturity
    0.77
     ado
    0.77
    Activations Density 0.006%

    No Known Activations