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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. 14598
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    Explanations

    phrases related to fish or fish-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to fish

    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
    FINE
    -0.73
    DOS
    -0.69
     Despair
    -0.65
    OWN
    -0.64
    URN
    -0.64
     Registrar
    -0.63
     condem
    -0.62
     Chancellor
    -0.62
    rian
    -0.61
    uler
    -0.61
    POSITIVE LOGITS
    bowl
    1.34
    mong
    1.18
    fish
    1.01
    meal
    0.94
    tails
    0.93
    hook
    0.91
    tailed
    0.90
    tail
    0.89
    lings
    0.87
    omon
    0.85
    Activations Density 0.028%

    No Known Activations