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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. 23969
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    Explanations

    words related to limits or restrictions, especially with a focus on numerical caps

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental regulation and caps on emissions

    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
     anten
    -0.73
    issance
    -0.70
     Bread
    -0.67
    cause
    -0.64
     Nare
    -0.63
    VD
    -0.62
    selves
    -0.61
     Modes
    -0.61
    abouts
    -0.60
    ĪĴ
    -0.60
    POSITIVE LOGITS
    itol
    1.45
    uchin
    1.15
    illary
    1.10
    aic
    1.07
    rice
    1.04
    rices
    0.97
    rison
    0.93
    itals
    0.91
    itated
    0.89
    stan
    0.89
    Activations Density 0.029%

    No Known Activations