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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. 17318
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    INDEX
    Explanations

    warnings or signals of caution

    oai_token-act-pair · gpt-3.5-turbo

    warnings or cautions about potential dangers or risks

    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
    Interstitial
    -0.82
    Legend
    -0.71
    ember
    -0.70
    LAN
    -0.70
    alter
    -0.69
    ordinary
    -0.68
    fixed
    -0.68
    lat
    -0.68
    Grant
    -0.68
    Lay
    -0.67
    POSITIVE LOGITS
     wary
    0.88
     lest
    0.87
     undermin
    0.81
    folios
    0.80
     beware
    0.79
    ashtra
    0.74
    abouts
    0.73
     aback
    0.71
    awan
    0.69
     Seym
    0.67
    Activations Density 0.018%

    No Known Activations