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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. 23747
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    Explanations

    terms related to environmental pollution and hazards

    oai_token-act-pair · gpt-3.5-turbo

    references to the source or origin of smoke or pollution

    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
    olson
    -0.87
    ratulations
    -0.78
    merce
    -0.77
    otype
    -0.77
    TEXT
    -0.76
    inion
    -0.74
    OLOG
    -0.73
    hirt
    -0.72
    Guide
    -0.71
    ographic
    -0.70
    POSITIVE LOGITS
     afar
    1.23
     Fukushima
    0.90
     whence
    0.84
     abroad
    0.83
     inside
    0.83
     glands
    0.80
     somewhere
    0.76
     neighboring
    0.73
     outside
    0.71
     wells
    0.71
    Activations Density 0.119%

    No Known Activations