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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. 10-RES-JB
    11. 11485
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    Explanations

    references to event tickets and related details

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ticket prices or sales related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilus
    -0.94
    elligence
    -0.82
    Wiki
    -0.78
    doc
    -0.78
    ebin
    -0.77
     nep
    -0.77
    Recommend
    -0.76
    izabeth
    -0.75
     whistlebl
    -0.75
    apeshifter
    -0.75
    POSITIVE LOGITS
     stadium
    1.87
     stadiums
    1.86
     Stadium
    1.77
     Coliseum
    1.50
     jerseys
    1.50
     football
    1.44
     halftime
    1.39
    Fans
    1.37
     baseball
    1.36
    adium
    1.36
    Activations Density 0.747%

    No Known Activations