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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. 2-RES-JB
    11. 1715
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    Explanations

    mentions of events or actions related to individuals being captured

    oai_token-act-pair · gpt-3.5-turbo

    references to instances of capture or being captured

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     assum
    -0.79
     amen
    -0.70
    committee
    -0.70
     occas
    -0.66
     notor
    -0.65
     inclined
    -0.65
     conflic
    -0.64
     acquaint
    -0.64
     deductible
    -0.63
    gom
    -0.63
    POSITIVE LOGITS
     captured
    0.90
    racuse
    0.89
    Capt
    0.85
    arnaev
    0.78
    ograp
    0.76
     captures
    0.75
     Capt
    0.75
     Photographer
    0.73
    ãĤ¼ãĤ¦ãĤ¹
    0.72
    ographers
    0.72
    Activations Density 0.011%

    No Known Activations