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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8316
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alike
    -0.68
     sequ
    -0.58
     CHO
    -0.58
     lect
    -0.57
    naire
    -0.55
     cake
    -0.55
     Faust
    -0.54
     Gou
    -0.53
     testifying
    -0.53
     draw
    -0.53
    POSITIVE LOGITS
    xp
    0.72
    edition
    0.66
    interstitial
    0.66
    Reader
    0.65
    imilation
    0.64
    cair
    0.62
     editions
    0.60
    ãĥ¼ãĤ¯
    0.60
    igion
    0.60
     Duration
    0.58
    Activations Density 0.127%

    No Known Activations