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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. 22743
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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
    mpeg
    -0.64
    llah
    -0.64
    iop
    -0.61
    TW
    -0.61
    ilo
    -0.58
    ogi
    -0.58
     disse
    -0.57
    owler
    -0.57
    aley
    -0.56
    MAT
    -0.56
    POSITIVE LOGITS
    issance
    1.07
    xual
    0.79
    ably
    0.74
    ilitating
    0.73
    tenance
    0.72
    naissance
    0.70
    burse
    0.70
    afort
    0.68
    lation
    0.68
     rele
    0.68
    Activations Density 0.183%

    No Known Activations