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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. 9-RES-JB
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    Explanations

    proper names 'Jesse'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jesse" and its variations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    cffff
    -0.86
    minist
    -0.75
    女
    -0.74
    iversity
    -0.73
    ebin
    -0.70
    inators
    -0.69
    ative
    -0.69
    UTC
    -0.67
    acl
    -0.66
    rums
    -0.66
    POSITIVE LOGITS
     Ventura
    1.07
     Owens
    0.96
     Pink
    0.91
     Eisen
    0.87
    lyn
    0.84
     Liver
    0.81
    clair
    0.76
     Sanchez
    0.74
     Jesse
    0.73
    ppers
    0.72
    Activations Density 0.044%

    No Known Activations