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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. 3-RES-JB
    11. 18467
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    INDEX
    Explanations

    repetitive sequences of characters in a text

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotions or reactions, particularly negative feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesday
    -0.78
    uly
    -0.76
     honoured
    -0.68
    hement
    -0.67
     herself
    -0.63
     exclusively
    -0.63
     orchestr
    -0.62
     associate
    -0.61
    terday
    -0.61
     voluntarily
    -0.61
    POSITIVE LOGITS
    Unless
    0.86
    Anyway
    0.86
    ................................................................
    0.86
    If
    0.85
    Sometimes
    0.85
    There
    0.83
    When
    0.83
    Advertisement
    0.83
    Whether
    0.82
    ccording
    0.82
    Activations Density 1.350%

    No Known Activations