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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15318
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    Explanations

    mentions of fish

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fish

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Madison
    -0.68
    xus
    -0.67
    FINE
    -0.66
    DOS
    -0.65
    éĹ
    -0.63
    rian
    -0.63
     MSI
    -0.62
     Despair
    -0.61
     AMC
    -0.61
     Blitz
    -0.60
    POSITIVE LOGITS
    bowl
    1.33
    mong
    1.20
    tails
    1.14
    nets
    1.08
    tailed
    1.07
    tail
    1.05
    hook
    1.05
    meal
    1.04
    fish
    0.97
    lings
    0.95
    Activations Density 0.034%

    No Known Activations