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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. 1-RES-JB
    11. 22701
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    Explanations

    words related to the action of being captured or taken

    oai_token-act-pair · gpt-3.5-turbo

    occurrences 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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     assum
    -0.79
     occas
    -0.73
     acquaint
    -0.72
     amen
    -0.69
    zzle
    -0.67
     conflic
    -0.66
     challeng
    -0.66
    itte
    -0.65
     ende
    -0.64
     notor
    -0.64
    POSITIVE LOGITS
     captured
    1.08
    arnaev
    0.90
    Capt
    0.86
     captures
    0.85
     capturing
    0.83
     Capt
    0.83
     Photographer
    0.79
    racuse
    0.78
     capture
    0.78
    ographers
    0.77
    Activations Density 0.014%

    No Known Activations