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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. 3-RES-JB
    6. 14189
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal processes or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulent
    -0.67
    ãĥŁ
    -0.65
    izens
    -0.63
     merc
    -0.63
    @@
    -0.60
     sublime
    -0.60
     incons
    -0.59
    çīĪ
    -0.58
     ne
    -0.58
    +++
    -0.58
    POSITIVE LOGITS
     mathemat
    0.88
    plet
    0.88
    Dialogue
    0.85
    yss
    0.84
    laughs
    0.77
     helic
    0.75
     VIDE
    0.72
    velt
    0.71
    laughter
    0.69
     contrace
    0.69
    Activations Density 1.634%

    No Known Activations