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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. 13440
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical values and statistical data

    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
    uden
    -0.79
    matically
    -0.75
    faced
    -0.70
    inges
    -0.69
    falls
    -0.68
    gets
    -0.68
    arted
    -0.67
    tons
    -0.65
    lying
    -0.64
    lie
    -0.64
    POSITIVE LOGITS
    IRC
    0.84
    ¯¯¯¯
    0.83
    ASC
    0.82
    REM
    0.80
    clair
    0.79
    oice
    0.73
    EMENT
    0.73
    SPA
    0.72
    80
    0.71
     cents
    0.70
    Activations Density 0.058%

    No Known Activations