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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. 6527
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    Explanations

    numbers indicating quantity or time intervals

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measures and expressions of limits or capacities

    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
    liest
    -0.86
    Reviewer
    -0.84
    lance
    -0.77
    Pear
    -0.72
    tery
    -0.72
    ãĥĺ
    -0.69
    ãĥ£
    -0.67
     Corpus
    -0.67
    Agent
    -0.64
    Redd
    -0.63
    POSITIVE LOGITS
    ousand
    0.72
     depending
    0.71
    kw
    0.71
     detect
    0.71
    phrine
    0.70
     overload
    0.70
     maximum
    0.68
    xual
    0.68
     sidx
    0.68
    abyte
    0.68
    Activations Density 0.110%

    No Known Activations