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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. 8-RES-JB
    11. 3404
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    Explanations

    specific references and actions related to events or situations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly colons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inki
    -0.73
    alian
    -0.69
    ctic
    -0.67
    anchester
    -0.67
    thal
    -0.65
    hew
    -0.65
    orts
    -0.65
    fal
    -0.64
    eme
    -0.63
    ista
    -0.63
    POSITIVE LOGITS
     namely
    1.25
     Towards
    0.69
     Convers
    0.67
     Revenge
    0.65
     Fountain
    0.64
     Return
    0.63
     Something
    0.62
     Cosmos
    0.62
     TED
    0.61
    ITT
    0.61
    Activations Density 0.209%

    No Known Activations