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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. 6-RES-JB
    11. 13782
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    Explanations

    details related to sports competitions and events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to qualification processes and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orah
    -0.81
    obi
    -0.74
    CHA
    -0.69
    cus
    -0.68
    err
    -0.67
    ographed
    -0.67
    utra
    -0.64
     Clicker
    -0.64
    dfx
    -0.63
     Kinnikuman
    -0.63
    POSITIVE LOGITS
    idad
    0.77
    iminary
    0.76
     qualifiers
    0.71
    itative
    0.68
    spection
    0.68
    ussia
    0.67
     rounds
    0.66
    ifiers
    0.65
     Countries
    0.64
    nces
    0.64
    Activations Density 0.021%

    No Known Activations