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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. 8-RES-JB
    11. 16778
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    Explanations

    phrases related to fish or seafood

    oai_token-act-pair · gpt-3.5-turbo

    references to fish and related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FINE
    -0.68
    rian
    -0.67
    itzer
    -0.66
    DOS
    -0.65
     Despair
    -0.65
    éĹ
    -0.65
    OWN
    -0.65
     Eliot
    -0.61
    ORN
    -0.60
    GV
    -0.60
    POSITIVE LOGITS
    bowl
    1.33
    mong
    1.14
    meal
    0.98
    nets
    0.96
    tails
    0.93
    fish
    0.92
    tailed
    0.90
    lings
    0.90
    tail
    0.90
     tacos
    0.86
    Activations Density 0.034%

    No Known Activations