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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. 5-RES-JB
    6. 19301
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    Explanations

    top rankings or lists

    oai_token-act-pair · gpt-3.5-turbo

    references to ordinal rankings or lists

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    walking
    -0.75
     Introduced
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    joy
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    uala
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    igham
    -0.69
     Seym
    -0.66
    uron
    -0.63
    elcome
    -0.61
    jab
    -0.61
    POSITIVE LOGITS
    nings
    0.87
     contenders
    0.87
     earners
    0.85
    %,
    0.81
    %:
    0.78
    %.
    0.74
     digits
    0.73
     percent
    0.70
     rankings
    0.70
    ollar
    0.70
    Activations Density 0.041%

    No Known Activations