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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. 3923
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    Explanations

    references to additional information or related topics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "See" used to reference additional information or citations

    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
    EStreamFrame
    -0.74
    cffffcc
    -0.73
     suscept
    -0.72
    purpose
    -0.70
    iated
    -0.68
    icum
    -0.68
    ium
    -0.68
    ascal
    -0.67
    iates
    -0.66
     enthusi
    -0.65
    POSITIVE LOGITS
     supra
    0.82
    KER
    0.79
     below
    0.78
     Also
    0.76
    hen
    0.75
    hee
    0.70
    dust
    0.70
    resses
    0.70
     ALSO
    0.69
    iful
    0.68
    Activations Density 0.033%

    No Known Activations