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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 8973
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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
    ngth
    -0.60
    blance
    -0.57
     fuss
    -0.57
    hell
    -0.55
    $,
    -0.54
    lication
    -0.54
    schild
    -0.53
     inconven
    -0.53
    naire
    -0.52
    ilities
    -0.52
    POSITIVE LOGITS
     reproduced
    0.74
    APD
    0.63
    interstitial
    0.63
     archived
    0.62
    Sport
    0.59
     reprinted
    0.58
    maximum
    0.58
     copyrighted
    0.57
    cop
    0.57
     reproduction
    0.56
    Activations Density 0.055%

    No Known Activations