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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. 7-RES-JB
    11. 5031
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    webkit
    -0.68
    pert
    -0.65
    asta
    -0.62
     edible
    -0.61
    intel
    -0.61
     prevail
    -0.61
    esm
    -0.60
     prevailed
    -0.60
    nered
    -0.59
    oeuv
    -0.58
    POSITIVE LOGITS
    uates
    1.09
    ments
    1.03
    lees
    1.02
    rollment
    0.88
    untarily
    0.87
    ment
    0.80
     enrollment
    0.79
    ç¥ŀ
    0.76
    ificant
    0.75
     enroll
    0.73
    Activations Density 0.038%

    No Known Activations