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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
    11. 22446
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    Explanations

    mentions of the "FA Cup"

    oai_token-act-pair · gpt-3.5-turbo

    references to the FA Cup

    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
    atchewan
    -0.73
    thodox
    -0.67
    nov
    -0.67
    tie
    -0.66
    selves
    -0.65
     Horton
    -0.65
    erous
    -0.65
    come
    -0.64
    ments
    -0.63
     Reson
    -0.63
    POSITIVE LOGITS
    FA
    0.86
    ITH
    0.81
    uthor
    0.80
    KE
    0.80
    IRE
    0.80
    ruits
    0.79
    WN
    0.77
    BLE
    0.77
    VE
    0.76
    IR
    0.75
    Activations Density 0.006%

    No Known Activations