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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. 7-RES-JB
    11. 18728
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    INDEX
    Explanations

    mentions of "mud"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and references to mud

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.70
     RPM
    -0.69
    ECT
    -0.69
    zona
    -0.68
    inelli
    -0.66
    ASED
    -0.65
     Lauder
    -0.63
    entric
    -0.63
    chnology
    -0.62
    yright
    -0.62
    POSITIVE LOGITS
    geon
    1.03
    sl
    0.91
    du
    0.87
    der
    0.85
    hog
    0.85
    alore
    0.83
    urai
    0.82
    ucer
    0.80
    iquette
    0.80
    Runner
    0.77
    Activations Density 0.027%

    No Known Activations