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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. 6-RES-JB
    11. 12237
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    Explanations

    specific numerical values related to time, measurements, and quantities

    oai_token-act-pair · gpt-3.5-turbo

    specific measurements, quantities, and structural elements in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    uador
    -0.62
    SY
    -0.59
    aspers
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    ãĤ¯
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    onomy
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    pac
    -0.57
    ibly
    -0.57
    zb
    -0.57
    cro
    -0.57
    xs
    -0.57
    POSITIVE LOGITS
     onwards
    0.91
     guiActiveUnfocused
    0.73
    usercontent
    0.71
     onward
    0.71
     periphery
    0.69
     Madness
    0.67
     itself
    0.65
     Simulator
    0.65
     hallway
    0.65
    endif
    0.65
    Activations Density 0.560%

    No Known Activations