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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. 12128
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    Explanations

    dates and events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of parentheses

    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
     flock
    -0.76
     wre
    -0.71
     escaping
    -0.70
     intensive
    -0.70
     appropri
    -0.69
     defect
    -0.66
     Emin
    -0.66
     evapor
    -0.66
     organic
    -0.66
     leveling
    -0.66
    POSITIVE LOGITS
    pictured
    1.45
    sic
    1.34
    CBC
    1.19
    emphasis
    1.13
    AFP
    1.12
    see
    1.11
    PDF
    1.10
    pdf
    1.08
    formerly
    1.08
    Reuters
    1.08
    Activations Density 0.176%

    No Known Activations