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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. 1782
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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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    No Comments

    Negative Logits
     Rollins
    -0.61
    mson
    -0.59
     Proc
    -0.58
    uckland
    -0.57
    grain
    -0.55
     Mori
    -0.55
     ninety
    -0.54
    uti
    -0.54
     FI
    -0.53
     Reserv
    -0.53
    POSITIVE LOGITS
    as
    1.53
     as
    1.36
    AS
    1.14
     AS
    1.05
    asus
    1.00
    As
    0.98
    asin
    0.97
    asio
    0.95
     As
    0.88
    asel
    0.86
    Activations Density 0.155%

    No Known Activations