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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. 557
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    INDEX
    Explanations

    positive or negative descriptors related to people or behavior

    oai_token-act-pair · gpt-3.5-turbo

    words associated with various social issues and characteristics, particularly concerning gender, race, and emotional attributes

    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
    anwhile
    -0.83
    osponsors
    -0.82
    é¾į
    -0.77
    eatures
    -0.73
    é¾įå
    -0.73
    channelAvailability
    -0.70
    Ô
    -0.69
    ãĥĹ
    -0.66
    uden
    -0.65
    ensibly
    -0.65
    POSITIVE LOGITS
    ,
    1.03
    ,...
    0.86
    -,
    0.72
    ,,
    0.71
    istic
    0.66
    ,.
    0.66
    —-
    0.65
    *,
    0.64
     —
    0.63
    âĢ¦"
    0.62
    Activations Density 0.179%

    No Known Activations