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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. 4-RES-JB
    11. 19039
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    Explanations

    phrases related to giving credit or recognition to someone or something

    oai_token-act-pair · gpt-3.5-turbo

    references to giving credit or recognition

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

    No Comments

    Negative Logits
     Lans
    -0.87
    dq
    -0.67
     Stones
    -0.65
    improve
    -0.64
     Weird
    -0.64
    FO
    -0.63
     Osw
    -0.63
    chan
    -0.63
    angular
    -0.62
     rav
    -0.60
    POSITIVE LOGITS
    Credit
    0.86
     credit
    0.85
    olor
    0.81
     credits
    0.80
    enza
    0.79
    abilities
    0.78
     card
    0.77
    redited
    0.75
    worthiness
    0.75
    ably
    0.74
    Activations Density 0.015%

    No Known Activations