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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. 17256
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    INDEX
    Explanations

    exceptions or exclusions within a statement or context

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements indicating exceptions

    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
    orthy
    -0.74
    omo
    -0.73
    Ready
    -0.72
    eatured
    -0.68
    ahead
    -0.65
     Cosponsors
    -0.65
    arios
    -0.63
    itiz
    -0.63
    mire
    -0.62
     sqor
    -0.61
    POSITIVE LOGITS
     occasional
    1.14
     sporadic
    0.76
     exceptions
    0.74
     occasionally
    0.73
     ones
    0.70
     temporarily
    0.69
     spor
    0.69
     mention
    0.68
     slight
    0.67
     briefly
    0.64
    Activations Density 0.073%

    No Known Activations