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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. 12846
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    INDEX
    Explanations

    references to fundraising campaigns or projects, particularly those related to a specific platform

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Pogo" brand or character

    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
    ibel
    -0.87
    ings
    -0.81
    kai
    -0.80
    vard
    -0.76
    bors
    -0.75
    rance
    -0.73
    icist
    -0.71
    shake
    -0.71
    erity
    -0.70
    lings
    -0.69
    POSITIVE LOGITS
    ogo
    1.04
    allery
    0.89
    vernment
    0.88
    EStream
    0.82
    utm
    0.81
    ofi
    0.79
    hub
    0.72
    oglobin
    0.72
    otine
    0.71
    atta
    0.70
    Activations Density 0.029%

    No Known Activations