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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. 6-RES-JB
    11. 10724
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hof
    -0.87
    atis
    -0.82
    oris
    -0.78
    selage
    -0.75
    ĸļ
    -0.71
    onom
    -0.71
    endor
    -0.70
    nih
    -0.70
    uments
    -0.70
    urion
    -0.69
    POSITIVE LOGITS
    dating
    1.00
    stairs
    0.88
    izoph
    0.87
    ban
    0.87
    coming
    0.80
    bably
    0.78
    dates
    0.78
    lishes
    0.77
    mit
    0.77
    ward
    0.76
    Activations Density 0.008%

    No Known Activations