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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. 707
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    Explanations

    words related to performers and performances

    oai_token-act-pair · gpt-3.5-turbo

    references to performers in various contexts

    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
    £ı
    -0.67
    orgetown
    -0.67
    ories
    -0.65
     oxide
    -0.62
     Coke
    -0.61
     draconian
    -0.60
     drainage
    -0.60
     denial
    -0.60
     Banking
    -0.60
    ohyd
    -0.59
    POSITIVE LOGITS
    glers
    0.93
    Artist
    0.88
    rers
    0.83
     performers
    0.82
     performer
    0.79
    goers
    0.77
    rities
    0.77
    rer
    0.76
     contestant
    0.75
     exhib
    0.71
    Activations Density 0.020%

    No Known Activations