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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. 9-RES-JB
    11. 14703
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    Explanations

    words related to large-scale and significant events or actions, often with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mass" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yssey
    -0.84
    thy
    -0.72
    gers
    -0.72
    mins
    -0.71
    ĪĴ
    -0.71
    bors
    -0.70
    ilk
    -0.69
    thens
    -0.68
    poons
    -0.67
    warts
    -0.67
    POSITIVE LOGITS
    achusetts
    1.32
     transit
    0.91
    aging
    0.90
    achus
    0.90
    acre
    0.89
     incarceration
    0.88
    ages
    0.84
     exodus
    0.84
    imil
    0.84
     mobilization
    0.82
    Activations Density 0.037%

    No Known Activations