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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. 10924
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    INDEX
    Explanations

    references to research studies and survey findings

    oai_token-act-pair · gpt-3.5-turbo

    data reflecting public opinion or survey results

    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
    quished
    -0.84
    )?
    -0.78
    APTER
    -0.76
    û
    -0.75
     yours
    -0.74
    tch
    -0.73
    nesday
    -0.71
    ysis
    -0.70
    iciary
    -0.68
    yrs
    -0.68
    POSITIVE LOGITS
     median
    0.86
     statistically
    0.85
     overest
    0.80
     significantly
    0.79
     outper
    0.79
     systematically
    0.77
     clustered
    0.76
     disproportionately
    0.76
     positively
    0.76
    Compared
    0.74
    Activations Density 0.672%

    No Known Activations