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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. 9098
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    Explanations

    mentions of cakes

    oai_token-act-pair · gpt-3.5-turbo

    references to cake

    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
    nesota
    -0.75
    audi
    -0.70
     Cheong
    -0.70
    selves
    -0.68
    iveness
    -0.67
    ually
    -0.66
    ENTION
    -0.64
    vernment
    -0.63
     Lomb
    -0.62
     WATCHED
    -0.62
    POSITIVE LOGITS
     cake
    1.03
    cakes
    0.97
    cake
    0.93
    meal
    0.92
     cakes
    0.92
    ecake
    0.86
    pillar
    0.80
    walk
    0.77
     batter
    0.77
    fruit
    0.75
    Activations Density 0.009%

    No Known Activations