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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. 10-RES-JB
    11. 12408
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and initials

    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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    No Comments

    Negative Logits
     Sigma
    -0.82
     Tup
    -0.73
     Neo
    -0.71
     Doodle
    -0.70
     Masquerade
    -0.70
     Aure
    -0.69
    FACE
    -0.68
     Sno
    -0.68
    ;;;;;;;;;;;;
    -0.68
     Bots
    -0.68
    POSITIVE LOGITS
    iegel
    1.04
    undy
    1.03
    owler
    1.02
    olson
    0.98
    ucci
    0.98
    ultz
    0.97
    iggs
    0.96
    iggins
    0.95
    ierrez
    0.94
    espie
    0.94
    Activations Density 0.074%

    No Known Activations