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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. 7758
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude towards the reader

    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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    Negative Logits
    uthor
    -0.60
     displ
    -0.60
    chio
    -0.60
    ño
    -0.59
     helicop
    -0.56
    wealth
    -0.53
    ignty
    -0.53
    gart
    -0.51
    senal
    -0.50
     Paddock
    -0.49
    POSITIVE LOGITS
    LOCK
    0.69
    irming
    0.62
     externalToEVAOnly
    0.61
    ा
    0.61
    RAY
    0.60
     subscribing
    0.60
    âĿ
    0.59
    yg
    0.58
    zbek
    0.58
    quished
    0.56
    Activations Density 0.014%

    No Known Activations