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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. 7-RES-JB
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    Explanations

    references to the sports team "Giants"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Giants football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ively
    -0.88
    ting
    -0.77
    rence
    -0.77
    nces
    -0.76
    xual
    -0.75
    icut
    -0.75
    ment
    -0.73
    orship
    -0.72
    ģ«
    -0.72
    ller
    -0.71
    POSITIVE LOGITS
     Giants
    0.87
    iants
    0.77
     Raiders
    0.71
     NFC
    0.69
     Coliseum
    0.67
    STAR
    0.67
     Jets
    0.67
    bane
    0.67
     Sachs
    0.65
    DT
    0.64
    Activations Density 0.019%

    No Known Activations