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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. 5-RES-JB
    6. 12551
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    negative symbols or terms related to coding or errors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heet
    -0.77
    opher
    -0.74
     subsequ
    -0.71
    pell
    -0.69
     suspic
    -0.67
    lete
    -0.66
    terday
    -0.65
    entials
    -0.65
    pace
    -0.64
    hea
    -0.63
    POSITIVE LOGITS
    _-
    1.53
    webkit
    1.12
    =-=-=-=-=-=-=-=-
    1.08
    =-=-=-=-
    0.89
     [|
    0.87
    \-
    0.85
    /-
    0.77
     UID
    0.75
    âĢ¢âĢ¢
    0.73
    =-=-
    0.69
    Activations Density 0.050%

    No Known Activations