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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. 8-RES-JB
    11. 2100
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    Explanations

    proper nouns and names, including some related to locations

    oai_token-act-pair · gpt-3.5-turbo

    sequences of letters forming proper nouns or specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Competitive
    -0.76
     seiz
    -0.75
     Tinker
    -0.75
     grapp
    -0.74
     DIRECT
    -0.74
     brace
    -0.74
     wrestle
    -0.73
     COP
    -0.72
     Twe
    -0.70
     INTER
    -0.70
    POSITIVE LOGITS
    ma
    1.37
    sa
    1.32
    na
    1.29
    aga
    1.21
    da
    1.19
    ya
    1.15
    ia
    1.15
    ava
    1.14
    ba
    1.10
    va
    1.10
    Activations Density 0.172%

    No Known Activations