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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 10043
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    Explanations

    mentions of versions or editions of something

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "original" works or sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    jri
    -0.83
    å§«
    -0.83
    ourke
    -0.78
    ertodd
    -0.77
    entimes
    -0.76
    Redditor
    -0.74
    cipled
    -0.72
    Ô
    -0.72
    rosso
    -0.71
    dain
    -0.71
    POSITIVE LOGITS
     ones
    1.05
     trilogy
    0.94
     version
    0.93
     incarnation
    0.92
     edition
    0.92
     batch
    0.88
     equation
    0.87
     iteration
    0.87
     formulation
    0.81
     lineup
    0.79
    Activations Density 0.205%

    No Known Activations