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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. 6-RES-JB
    6. 20363
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    Explanations

    technical terms and details, such as parameters, rates, models, and specific names

    oai_token-act-pair · gpt-3.5-turbo

    terms related to parameters and statistical analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !.
    -0.59
    +.
    -0.57
    $.
    -0.56
    `.
    -0.55
    ().
    -0.50
    Ú
    -0.49
     possibly
    -0.49
    utics
    -0.49
    *.
    -0.48
    ilaterally
    -0.48
    POSITIVE LOGITS
    iest
    0.58
     analogy
    0.56
     dilemma
    0.52
    hest
    0.52
    argument
    0.52
    ottest
    0.51
     consists
    0.50
     extends
    0.50
     consisted
    0.49
    ibrarian
    0.48
    Activations Density 1.142%

    No Known Activations