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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. 8-RES-JB
    6. 6028
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    Explanations

    times of events or pricing details enclosed in parentheses

    oai_token-act-pair · gpt-3.5-turbo

    the presence of parentheses in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gaze
    -0.76
     lull
    -0.72
     wildlife
    -0.70
     ent
    -0.70
     electr
    -0.69
     entitlement
    -0.69
     path
    -0.69
     spot
    -0.69
     habitat
    -0.68
     glare
    -0.67
    POSITIVE LOGITS
    approximately
    1.42
    depending
    1.40
    excluding
    1.36
    average
    1.26
    sic
    1.24
    including
    1.24
    rough
    1.19
    literally
    1.19
    almost
    1.17
    according
    1.16
    Activations Density 0.102%

    No Known Activations