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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. 18946
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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
     Lomb
    -0.85
     suspic
    -0.76
    entimes
    -0.75
     insecurity
    -0.73
    achus
    -0.71
     proble
    -0.67
    irens
    -0.67
     manif
    -0.66
    mith
    -0.66
     Brill
    -0.66
    POSITIVE LOGITS
    BUT
    0.80
    Done
    0.75
    arro
    0.74
    etc
    0.73
    nos
    0.72
    Ay
    0.71
    requ
    0.70
    where
    0.70
    imaru
    0.68
    gone
    0.68
    Activations Density 0.037%

    No Known Activations