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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. 10-RES-JB
    6. 23849
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    Explanations

    technical terms and details in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to methodologies and evaluative judgments about them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     adolescence
    -0.57
     grooming
    -0.52
    aila
    -0.50
     puberty
    -0.49
     sentencing
    -0.49
     corros
    -0.49
    ursday
    -0.47
     hazards
    -0.47
     Sabbath
    -0.46
     disturbances
    -0.46
    POSITIVE LOGITS
     ;)
    0.92
    +.
    0.90
    _.
    0.90
     altogether
    0.90
     :)
    0.89
    *.
    0.85
     itself
    0.84
     :-)
    0.84
    ().
    0.82
     ðŁĻĤ
    0.82
    Activations Density 0.893%

    No Known Activations