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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

    mentions of festivals

    oai_token-act-pair · gpt-3.5-turbo

    references to festivals

    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
    DonaldTrump
    -0.79
    aundering
    -0.77
    cro
    -0.77
     clipboard
    -0.75
    arial
    -0.75
    metics
    -0.73
    holes
    -0.72
    morph
    -0.72
    haar
    -0.70
    avez
    -0.70
    POSITIVE LOGITS
    ivals
    1.40
     festivals
    0.94
    goers
    0.94
     festival
    0.92
    ivities
    0.91
     Festival
    0.89
     Fest
    0.85
    Fest
    0.83
     Grounds
    0.82
    grounds
    0.79
    Activations Density 0.030%

    No Known Activations