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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. 6-RES-JB
    11. 24528
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    INDEX
    Explanations

    names of people or organizations being asked questions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "about"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rift
    -0.86
    OGR
    -0.80
    à¥
    -0.78
    Hung
    -0.75
    Written
    -0.75
    ³³³³³³³³³³³³³³³³
    -0.69
    ³³³³
    -0.69
    photo
    -0.69
    RIP
    -0.68
    ////////////////////////////////
    -0.68
    POSITIVE LOGITS
     whether
    0.88
     topics
    0.84
     how
    0.80
     reforming
    0.78
     specifics
    0.74
     behalf
    0.72
     legality
    0.71
     changing
    0.71
     improving
    0.71
     fairness
    0.71
    Activations Density 0.091%

    No Known Activations