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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. 18616
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    Explanations

    proper nouns, especially names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    opening parentheses in the text

    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
     lull
    -0.73
     Lumpur
    -0.73
     intensive
    -0.70
     therap
    -0.69
     incons
    -0.69
     icy
    -0.67
     wre
    -0.67
     infring
    -0.66
     inund
    -0.66
     glare
    -0.65
    POSITIVE LOGITS
    including
    1.49
    sic
    1.40
    albeit
    1.40
    excluding
    1.38
    emphasis
    1.34
    pictured
    1.33
    see
    1.31
    which
    1.25
    mostly
    1.23
    PDF
    1.22
    Activations Density 0.162%

    No Known Activations