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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1642
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    Explanations

    names or references to the name "Vicente"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Vic" and its variations

    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
    xual
    -0.82
    mble
    -0.81
    Ô
    -0.76
    GES
    -0.74
    eer
    -0.69
    eker
    -0.69
    mberg
    -0.69
    itably
    -0.66
    tenance
    -0.64
    bies
    -0.62
    POSITIVE LOGITS
    arious
    1.37
    iple
    1.12
    inity
    1.01
    ente
    1.01
    illation
    0.96
    oret
    0.93
    imated
    0.93
    iable
    0.92
    arius
    0.92
    abulary
    0.92
    Activations Density 0.080%

    No Known Activations