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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. 11-RES-JB
    11. 17444
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    INDEX
    Explanations

    references to looking at specific elements or analyzing situations closely

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "look at" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soever
    -0.70
    breaker
    -0.69
    ON
    -0.68
    icum
    -0.68
    externalActionCode
    -0.67
    wa
    -0.67
    ¯¯
    -0.66
    Upon
    -0.65
    emphasis
    -0.65
    enthal
    -0.63
    POSITIVE LOGITS
     how
    1.07
     what
    0.95
     pictures
    0.94
     photographs
    0.91
     trends
    0.89
     yourselves
    0.89
     whether
    0.88
     graphs
    0.86
     charts
    0.85
     whats
    0.84
    Activations Density 0.124%

    No Known Activations