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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. 4-RES-JB
    11. 9758
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    Explanations

    words related to detection and identifying specific instances or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detection and identifying certain conditions or actions

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

    No Comments

    Negative Logits
    perty
    -0.86
    emate
    -0.79
    mort
    -0.75
    erer
    -0.73
    creation
    -0.72
    skill
    -0.70
    jri
    -0.68
    nesia
    -0.68
    paragraph
    -0.67
    asin
    -0.66
    POSITIVE LOGITS
     detect
    0.94
     detects
    0.82
    ibles
    0.80
    ibly
    0.80
     detection
    0.80
     Detect
    0.74
     detected
    0.74
     detecting
    0.74
    Detect
    0.74
     Detection
    0.73
    Activations Density 0.025%

    No Known Activations