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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. 4-RES-JB
    11. 6580
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ghazi
    -0.81
    FUL
    -0.75
    puff
    -0.66
     Miko
    -0.65
     Ness
    -0.64
    boarding
    -0.64
    ãģĤ
    -0.62
    ++++++++++++++++
    -0.62
    BALL
    -0.61
    gur
    -0.61
    POSITIVE LOGITS
    icate
    1.35
    icates
    1.28
    icated
    1.26
    ication
    1.23
    icator
    1.19
     synd
    1.18
    icating
    1.11
    ications
    1.03
    emic
    0.99
    icators
    0.95
    Activations Density 0.004%

    No Known Activations