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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. 14214
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    Explanations

    names of characters or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names of characters

    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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    Negative Logits
    CLASSIFIED
    -0.75
     acron
    -0.73
    20439
    -0.70
     confir
    -0.69
     mathemat
    -0.68
     âĢº
    -0.68
     infographic
    -0.67
     adolesc
    -0.67
     simul
    -0.65
    uminati
    -0.64
    POSITIVE LOGITS
    oving
    0.78
    avez
    0.78
    axis
    0.76
    reat
    0.74
    ifle
    0.73
    ynes
    0.72
    vil
    0.71
    lem
    0.70
    reath
    0.69
    leck
    0.69
    Activations Density 0.210%

    No Known Activations