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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. 11353
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    Explanations

    names or terms related to specific individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to people's names and associated institutions or locations

    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
    redit
    -0.84
    arer
    -0.77
    vered
    -0.73
    greg
    -0.69
    avage
    -0.69
    arers
    -0.68
    minus
    -0.67
    ORE
    -0.66
    redits
    -0.66
    ueless
    -0.64
    POSITIVE LOGITS
    ette
    0.97
     Abram
    0.87
     Karin
    0.86
     Madness
    0.82
    cipled
    0.74
    yard
    0.74
    iculture
    0.73
     Superior
    0.71
     Mend
    0.70
    icio
    0.69
    Activations Density 0.053%

    No Known Activations