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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. 10-RES-JB
    11. 1227
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    INDEX
    Explanations

    concepts or situations marked by their irrationality or extremeness

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating absurdity or complexity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orthy
    -0.98
    bernatorial
    -0.89
    thia
    -0.87
    reau
    -0.84
    anooga
    -0.84
    forts
    -0.81
    icious
    -0.80
    swick
    -0.79
    hips
    -0.77
    monton
    -0.75
    POSITIVE LOGITS
     owning
    1.06
     extracting
    1.03
     relying
    0.95
     constructing
    0.95
     maintaining
    0.94
     separating
    0.94
     applying
    0.94
     obtaining
    0.93
     having
    0.91
     combining
    0.91
    Activations Density 0.196%

    No Known Activations