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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. 10-RES-JB
    11. 6191
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enburg
    -0.71
    ecd
    -0.70
     confidentiality
    -0.70
    saf
    -0.68
    stals
    -0.65
    ners
    -0.63
    ÃŁ
    -0.61
    staking
    -0.61
    iture
    -0.60
    issance
    -0.59
    POSITIVE LOGITS
     Rowe
    1.01
    Rex
    0.92
     Boone
    0.88
     Eliot
    0.81
     Rex
    0.78
     Barn
    0.75
    xual
    0.75
     Hawk
    0.72
     Dill
    0.71
    rex
    0.70
    Activations Density 0.030%

    No Known Activations