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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. 917
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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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    Negative Logits
    ãĥ¼ãĥĨ
    -0.73
    vation
    -0.67
    avorite
    -0.67
    indal
    -0.63
    gencies
    -0.63
    $$$$
    -0.63
    Daddy
    -0.62
     [*
    -0.61
    oaded
    -0.61
     Seym
    -0.61
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    0.59
    =-
    0.58
     glac
    0.52
     computing
    0.51
     modified
    0.51
     canceled
    0.51
     encoding
    0.51
     Rus
    0.50
     amended
    0.50
    mont
    0.50
    Activations Density 0.167%

    No Known Activations