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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. 3-RES-JB
    11. 18291
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    Explanations

    numbers, particularly ones related to statistics or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics or figures

    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
    ihad
    -0.73
     Nou
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    comes
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    esan
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    iscons
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    anical
    -0.64
    actic
    -0.63
    fare
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    izoph
    -0.63
     Mub
    -0.63
    POSITIVE LOGITS
    806
    0.84
    803
    0.81
    507
    0.81
    interstitial
    0.77
    ãĥ¼ãĤ¯
    0.76
    266
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    651
    0.76
    uably
    0.76
    367
    0.76
    396
    0.75
    Activations Density 0.070%

    No Known Activations