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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. 1756
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    Explanations

    descriptions or mentions of characters in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to characters in discussions or descriptions

    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
    hower
    -0.72
    isco
    -0.71
    yg
    -0.68
    liga
    -0.68
    rup
    -0.68
    VERTIS
    -0.67
    ervative
    -0.66
    xon
    -0.66
    rogen
    -0.65
    alm
    -0.64
    POSITIVE LOGITS
    acters
    1.29
    istically
    1.04
    istics
    1.00
    izations
    0.91
     arcs
    0.87
     assassinate
    0.82
    isations
    0.79
     characters
    0.76
     arc
    0.75
    anooga
    0.74
    Activations Density 0.019%

    No Known Activations