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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1755
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    INDEX
    Explanations

    media-related terms such as show, movie, news, and talk

    oai_token-act-pair · gpt-3.5-turbo

    references to media and entertainment, particularly related to talk shows and news

    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
    TPPStreamerBot
    -0.77
     Helpful
    -0.74
    yss
    -0.72
     individually
    -0.66
     describ
    -0.66
     Continuous
    -0.65
    Specific
    -0.65
     downstream
    -0.63
     Effect
    -0.62
     Roof
    -0.62
    POSITIVE LOGITS
     outfit
    0.83
    warts
    0.77
    aunts
    0.77
    lance
    0.75
    coon
    0.75
     enthusiast
    0.74
     theorist
    0.73
    abilia
    0.72
     guru
    0.72
     duo
    0.71
    Activations Density 0.518%

    No Known Activations