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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. 3-RES-JB
    11. 22777
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    INDEX
    Explanations

    ingredients commonly found in recipes, especially herbs and spices

    oai_token-act-pair · gpt-3.5-turbo

    mentions of basil

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eering
    -0.89
    ELL
    -0.75
    POS
    -0.75
     Wilde
    -0.74
    VIEW
    -0.73
    riors
    -0.69
    eers
    -0.68
    fit
    -0.68
    PLAY
    -0.68
    vals
    -0.67
    POSITIVE LOGITS
     basil
    1.14
    icas
    1.13
    ique
    0.96
    anguage
    0.95
    icum
    0.95
    isks
    0.94
    icate
    0.94
     Basil
    0.87
    ica
    0.86
    icals
    0.86
    Activations Density 0.015%

    No Known Activations