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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
    11. 4649
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    Explanations

    The neuron is looking for author attribution indicators

    oai_token-act-pair · gpt-3.5-turbo

    references to authors or contributors in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     pains
    -0.88
    itives
    -0.78
    hement
    -0.73
     retard
    -0.70
    bler
    -0.69
     realised
    -0.65
    blers
    -0.65
     realise
    -0.64
     manif
    -0.63
    pler
    -0.63
    POSITIVE LOGITS
    akuya
    0.87
     virtue
    0.82
    pass
    0.79
    catch
    0.73
    Author
    0.72
    stand
    0.71
    CAR
    0.67
     downloading
    0.65
     Email
    0.65
    Title
    0.65
    Activations Density 0.037%

    No Known Activations