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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. 7-RES-JB
    6. 6844
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    Explanations

    suggestions or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    recommendations or suggestions given in various contexts

    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
     Mehran
    -0.70
    agos
    -0.69
    ELD
    -0.66
     Ern
    -0.66
    anty
    -0.65
    PRESS
    -0.63
    isol
    -0.59
     Beast
    -0.57
    Ship
    -0.57
    FN
    -0.57
    POSITIVE LOGITS
     reconsider
    0.99
    ħĭ
    0.86
    iquette
    0.81
     rethink
    0.80
     recommendation
    0.78
     proceed
    0.75
     caution
    0.74
     adopt
    0.74
     remedy
    0.73
     ditch
    0.72
    Activations Density 0.233%

    No Known Activations