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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. 3-RES-JB
    11. 3490
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    Explanations

    names of specific geographical locations

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Catal
    -0.70
     Mutant
    -0.68
     XCOM
    -0.68
     Hitman
    -0.67
    VERT
    -0.66
    ãĤ
    -0.65
    OPLE
    -0.65
     Flavoring
    -0.63
    asketball
    -0.63
     DIRECT
    -0.63
    POSITIVE LOGITS
    shire
    0.81
     Kenobi
    0.80
    uckle
    0.80
    emark
    0.80
    aido
    0.78
    rite
    0.77
    cus
    0.76
    userc
    0.76
    qus
    0.76
    ingen
    0.74
    Activations Density 0.016%

    No Known Activations