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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. 11-RES-JB
    11. 1532
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    Explanations

    information related to a project or person's features and details, possibly in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    specific project-related details and key identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disg
    -0.81
     .)
    -0.68
     fres
    -0.63
    raq
    -0.61
     ).
    -0.60
    teenth
    -0.60
    anian
    -0.59
    kef
    -0.59
     broccoli
    -0.58
    mone
    -0.57
    POSITIVE LOGITS
    %:
    1.40
     Rating
    1.11
    :
    1.10
     Date
    1.05
    ?:
    1.01
    iculty
    0.97
     Ratio
    0.95
     Type
    0.92
     Dates
    0.91
     Length
    0.90
    Activations Density 0.138%

    No Known Activations