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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
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    Explanations

    mentions of individuals being captured or taken prisoner

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "captured."

    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
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    No Comments

    Negative Logits
     amen
    -0.77
     mascul
    -0.74
     challeng
    -0.72
     foundations
    -0.70
     foundation
    -0.68
     occas
    -0.67
     conflic
    -0.66
     explan
    -0.66
     hypothesis
    -0.65
     assum
    -0.65
    POSITIVE LOGITS
    Capt
    0.93
     captured
    0.87
     Photographer
    0.86
    racuse
    0.81
     Capt
    0.80
    otes
    0.75
    arnaev
    0.74
     Thumbnails
    0.71
    ographer
    0.70
    ote
    0.70
    Activations Density 0.021%

    No Known Activations