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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
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    Explanations

    mentions of television ratings

    oai_token-act-pair · gpt-3.5-turbo

    references to television ratings

    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
    adr
    -0.73
     Alm
    -0.69
     Ric
    -0.69
     Paleo
    -0.68
    working
    -0.68
     Gibbs
    -0.68
     Orth
    -0.68
    forth
    -0.67
     Remem
    -0.67
     Roses
    -0.66
    POSITIVE LOGITS
     ratings
    1.30
     rating
    1.11
     Ratings
    0.98
    Reviewer
    0.95
     Rating
    0.83
    otten
    0.81
    undown
    0.80
     rated
    0.78
    omial
    0.76
    achi
    0.74
    Activations Density 0.011%

    No Known Activations