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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. 7-RES-JB
    11. 22963
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    INDEX
    Explanations

    mentions of television shows and movies

    oai_token-act-pair · gpt-3.5-turbo

    references to specific TV shows or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osate
    -0.75
    ernel
    -0.67
    ickr
    -0.66
     advant
    -0.66
    ulic
    -0.65
    ¬¼
    -0.64
    ntil
    -0.64
     econom
    -0.63
     fiat
    -0.63
    orgetown
    -0.62
    POSITIVE LOGITS
     Whedon
    1.26
     cinematic
    1.21
     cinem
    1.18
    episode
    1.16
     sequels
    1.15
     screenplay
    1.15
    movie
    1.13
     actors
    1.12
     actress
    1.10
     actresses
    1.10
    Activations Density 1.676%

    No Known Activations