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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. 1-RES-JB
    11. 12866
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    Explanations

    websites or media sources associated with TV

    oai_token-act-pair · gpt-3.5-turbo

    references to television shows or networks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Hurricanes
    -0.88
     Carly
    -0.70
     Middle
    -0.68
     Canary
    -0.66
     snipp
    -0.65
     Mile
    -0.63
     Palestinian
    -0.62
     pavement
    -0.62
     Crus
    -0.61
     Violent
    -0.61
    POSITIVE LOGITS
    tv
    1.27
    oday
    1.20
    atcher
    0.95
    ideo
    0.93
    urnal
    0.92
    trop
    0.89
    nw
    0.88
    apest
    0.86
    zona
    0.86
    itsu
    0.86
    Activations Density 0.008%

    No Known Activations