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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. 3801
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    Explanations

    names of people and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people and organizations

    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
     wise
    -0.72
    LOS
    -0.68
    jri
    -0.66
    pmwiki
    -0.63
    irmed
    -0.62
     damp
    -0.60
    ODUCT
    -0.60
    )=(
    -0.59
     rul
    -0.58
    ALSE
    -0.57
    POSITIVE LOGITS
    stown
    0.90
    sonian
    0.84
     Horton
    0.78
    boro
    0.77
    onian
    0.75
    ville
    0.73
    buster
    0.73
    ween
    0.73
     River
    0.72
    antine
    0.72
    Activations Density 0.204%

    No Known Activations