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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. 4-RES-JB
    11. 16006
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    Explanations

    references to sled-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to sled dogs and the sledding industry

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

    No Comments

    Negative Logits
    ception
    -0.73
    oming
    -0.69
     Mayweather
    -0.68
     Esper
    -0.65
    externalActionCode
    -0.65
    aternity
    -0.64
    ceptive
    -0.63
    utenberg
    -0.62
    aser
    -0.62
    apeshifter
    -0.62
    POSITIVE LOGITS
    ding
    1.58
    ded
    0.94
    sheet
    0.89
    dogs
    0.89
    sburgh
    0.85
    gent
    0.81
    bur
    0.79
    hing
    0.79
    tering
    0.78
    s
    0.78
    Activations Density 0.021%

    No Known Activations