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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. 3-RES-JB
    11. 12029
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    Explanations

    mentions of rounds in the context of sports drafts

    oai_token-act-pair · gpt-3.5-turbo

    references to sports draft rounds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ful
    -0.87
    yer
    -0.70
     obser
    -0.70
    uras
    -0.68
    />
    -0.68
    rogens
    -0.67
     hy
    -0.65
    urized
    -0.65
     kinderg
    -0.64
    accompanied
    -0.63
    POSITIVE LOGITS
    table
    0.92
    trip
    0.90
    naire
    0.80
    robe
    0.79
    ichick
    0.74
     Jacket
    0.72
    bag
    0.71
    scribed
    0.69
    ¨
    0.69
     rob
    0.69
    Activations Density 0.013%

    No Known Activations