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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. 9881
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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
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    Negative Logits
     fertil
    -0.67
     Pigs
    -0.65
    FORE
    -0.64
    rics
    -0.63
     retard
    -0.62
     bearer
    -0.62
    eger
    -0.61
     fide
    -0.59
     contraception
    -0.56
     è£ı
    -0.56
    POSITIVE LOGITS
    igator
    1.24
    igating
    1.19
    arro
    1.16
    igation
    1.13
    igate
    1.11
    igators
    1.11
    ajo
    1.11
    arre
    0.97
    istar
    0.93
    arette
    0.88
    Activations Density 0.050%

    No Known Activations