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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. 11-RES-JB
    11. 17259
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    Explanations

    terms related to sports leagues, specifically Major League entities

    oai_token-act-pair · gpt-3.5-turbo

    references to Major League (ML) and its related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pered
    -0.69
    liest
    -0.68
    ricular
    -0.67
    olon
    -0.66
    rette
    -0.66
    ulum
    -0.65
    liction
    -0.64
    rem
    -0.64
    rolet
    -0.63
    hered
    -0.62
    POSITIVE LOGITS
    TP
    1.06
    DN
    1.02
    ounge
    1.01
    INK
    1.01
    NP
    0.98
    anguage
    0.98
    PF
    0.96
    yrics
    0.95
    P
    0.94
    IVE
    0.93
    Activations Density 0.058%

    No Known Activations