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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. 11012
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    Explanations

    phrases related to discarding or removing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being thrown or discarded

    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
    trak
    -0.72
    Ë
    -0.71
    cius
    -0.70
    SET
    -0.69
     Laur
    -0.68
    APH
    -0.68
    CLA
    -0.68
    Administ
    -0.68
    QU
    -0.65
    ND
    -0.64
    POSITIVE LOGITS
     overboard
    0.92
     tant
    0.76
     arms
    0.73
     grenades
    0.73
     insult
    0.69
     excuse
    0.69
     blame
    0.69
     Corpse
    0.67
    pee
    0.67
     grenade
    0.66
    Activations Density 0.134%

    No Known Activations