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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. 4-RES-JB
    11. 6259
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     untreated
    -0.52
    azo
    -0.52
     peninsula
    -0.49
    oshenko
    -0.47
    acial
    -0.47
     disapp
    -0.46
     cavity
    -0.46
    inki
    -0.46
     unidentified
    -0.46
    poral
    -0.45
    POSITIVE LOGITS
     Camel
    0.68
    enment
    0.65
     Gleaming
    0.63
    ĨĴ
    0.61
    Magikarp
    0.56
     Stout
    0.56
     Classics
    0.55
    merce
    0.53
    Dou
    0.52
    Jess
    0.52
    Activations Density 2.214%

    No Known Activations