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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. 9-RES-JB
    11. 10368
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    Explanations

    terms related to sports franchises

    oai_token-act-pair · gpt-3.5-turbo

    references to sports franchises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    board
    -0.81
    ynthesis
    -0.80
    boards
    -0.74
    inx
    -0.71
    ools
    -0.71
    ooks
    -0.69
    rough
    -0.69
    izoph
    -0.67
     Thou
    -0.66
    amples
    -0.63
    POSITIVE LOGITS
    eers
    0.93
     cornerstone
    0.83
     franchise
    0.76
    arily
    0.71
     franchises
    0.71
    e
    0.71
    atile
    0.70
    atical
    0.70
    ally
    0.70
     mascot
    0.70
    Activations Density 0.060%

    No Known Activations