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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. 2-RES-JB
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    Explanations

    terms related to sports fouls

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "foul" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edia
    -0.78
    CP
    -0.72
    PRESS
    -0.69
    ational
    -0.68
     Airl
    -0.68
    atche
    -0.68
    quart
    -0.67
    DCS
    -0.67
    zl
    -0.66
    _>
    -0.66
    POSITIVE LOGITS
     foul
    0.95
    cery
    0.77
    terness
    0.71
    mson
    0.71
    isine
    0.70
     smelling
    0.69
    mire
    0.67
     misc
    0.66
     stains
    0.65
    oug
    0.65
    Activations Density 0.006%

    No Known Activations