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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. 11-RES-JB
    11. 963
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    Explanations

    descriptions related to precautions taken to avoid risks

    oai_token-act-pair · gpt-3.5-turbo

    references to planning or estimating outcomes based on data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    annels
    -0.78
     deaf
    -0.73
     greets
    -0.72
     Talks
    -0.71
    natureconservancy
    -0.71
    EEEE
    -0.69
    ê
    -0.68
    Joined
    -0.68
    ldom
    -0.67
     kisses
    -0.67
    POSITIVE LOGITS
     calculation
    1.77
     calculator
    1.64
     calculations
    1.59
     spreadsheet
    1.50
     formula
    1.45
     equation
    1.43
     dataset
    1.41
     estimate
    1.41
     methodology
    1.39
     estim
    1.38
    Activations Density 0.440%

    No Known Activations