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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. 11-RES-JB
    11. 954
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Griffin
    -0.85
     Garry
    -0.82
     Bauer
    -0.81
     GR
    -0.75
     McGr
    -0.74
     gr
    -0.72
     Grace
    -0.71
     Kir
    -0.71
     Granger
    -0.70
     Greenberg
    -0.70
    POSITIVE LOGITS
    TT
    1.35
    t
    1.33
    T
    1.33
    TD
    1.31
    TC
    1.28
    Ts
    1.25
    TS
    1.25
    td
    1.24
    TF
    1.21
    TE
    1.18
    Activations Density 0.862%

    No Known Activations