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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. 6505
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    Explanations

    references to medical imaging techniques, specifically computed tomography (CT) scans

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "CT," likely referencing Connecticut or related contexts

    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
    wagen
    -0.98
    don
    -0.81
    kind
    -0.79
    limits
    -0.77
    doms
    -0.77
    hoff
    -0.74
    ocene
    -0.74
    iture
    -0.74
    dom
    -0.74
    giving
    -0.73
    POSITIVE LOGITS
     scanner
    0.79
    ICLE
    0.78
     Hebdo
    0.77
    RL
    0.75
     scan
    0.73
    ivity
    0.72
    aught
    0.72
    ARDIS
    0.71
     CLS
    0.69
     scanners
    0.68
    Activations Density 0.051%

    No Known Activations