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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. 21986
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    Explanations

    references to American football touchdowns

    oai_token-act-pair · gpt-3.5-turbo

    references to touchdowns in sports contexts

    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
    tan
    -0.84
    arest
    -0.76
    lly
    -0.76
    ebin
    -0.69
    ãĤ¨ãĥ«
    -0.68
    xon
    -0.67
    Premium
    -0.67
    ename
    -0.66
    States
    -0.65
    utical
    -0.64
    POSITIVE LOGITS
     touchdowns
    0.94
     touchdown
    0.94
     scored
    0.81
     receptions
    0.79
     scoring
    0.77
     rusher
    0.76
     apiece
    0.73
    pering
    0.72
     Jarrett
    0.72
    cake
    0.71
    Activations Density 0.019%

    No Known Activations