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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. 1-RES-JB
    11. 15760
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    Explanations

    words related to regulations, restrictions, and control

    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulations and constraints

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wards
    -0.78
    phe
    -0.76
    grab
    -0.75
    mberg
    -0.74
    ombies
    -0.71
    ocene
    -0.69
    zig
    -0.68
    =-=-
    -0.68
    lda
    -0.65
    ctors
    -0.65
    POSITIVE LOGITS
     const
    1.08
    abulary
    1.06
    ipation
    1.01
    expr
    0.95
     pige
    0.88
    catentry
    0.85
    ellation
    0.84
    ricting
    0.83
    riction
    0.79
     pigeon
    0.78
    Activations Density 0.011%

    No Known Activations