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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. 7-RES-JB
    11. 9732
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sections with structured numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     erotic
    -0.67
     Ascend
    -0.58
    fac
    -0.57
     Kant
    -0.57
     Quantum
    -0.57
     rog
    -0.56
     philosophers
    -0.56
     hydra
    -0.55
     Titan
    -0.55
     congr
    -0.55
    POSITIVE LOGITS
    window
    1.09
    Loading
    0.85
    JUST
    0.74
    ................................................................
    0.73
    Film
    0.72
    WASHINGTON
    0.72
    Actor
    0.72
    CLOSE
    0.71
    Getty
    0.71
    Video
    0.71
    Activations Density 0.082%

    No Known Activations