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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. 19132
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    Explanations

    proper nouns related to various entities in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    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
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    No Comments

    Negative Logits
    boards
    -0.70
    PK
    -0.67
    arov
    -0.66
    ilitation
    -0.63
    merce
    -0.63
    engers
    -0.62
    otion
    -0.61
     Bahamas
    -0.61
    ulative
    -0.61
    ulsive
    -0.60
    POSITIVE LOGITS
    aneous
    0.93
     throats
    0.78
    iple
    0.75
    vana
    0.73
     slit
    0.72
     throat
    0.71
    rito
    0.68
     peppers
    0.67
    general
    0.64
    urrection
    0.64
    Activations Density 0.122%

    No Known Activations