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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. 5996
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    INDEX
    Explanations

    mentions of high school proms

    oai_token-act-pair · gpt-3.5-turbo

    references to prom events

    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
    UGH
    -0.78
    ADRA
    -0.72
     Flavoring
    -0.71
    Reviewer
    -0.68
    SEE
    -0.67
     Palmer
    -0.67
     Welsh
    -0.67
    WIND
    -0.66
    é¾įå¥ij士
    -0.64
     Stro
    -0.63
    POSITIVE LOGITS
    etheus
    1.29
     prom
    1.03
    ises
    1.01
    otions
    0.96
    otional
    0.91
    posal
    0.91
    eties
    0.91
    inently
    0.91
    oter
    0.89
    inent
    0.89
    Activations Density 0.009%

    No Known Activations