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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. 18575
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    Explanations

    phrases that include the expression "in short" or similar phrases that summarize a concept

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize a point or provide restatement

    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
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    No Comments

    Negative Logits
    ãĥ¥
    -0.71
    Äĩ
    -0.70
    alysed
    -0.68
    aq
    -0.67
    col
    -0.64
    Rated
    -0.63
    REAM
    -0.61
    gi
    -0.61
    rals
    -0.61
    igators
    -0.60
    POSITIVE LOGITS
    yss
    0.88
     unless
    0.75
     beware
    0.70
     imagine
    0.68
     yeah
    0.65
     congratulations
    0.65
    ymm
    0.64
     Whoever
    0.64
     whoever
    0.63
     barring
    0.63
    Activations Density 0.082%

    No Known Activations