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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. 24543
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    Explanations

    incomplete references to names or terms with specific patterns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and locations

    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
     STATS
    -0.68
     quar
    -0.60
     JFK
    -0.58
    Constructed
    -0.58
     recount
    -0.58
     innocence
    -0.58
     Ou
    -0.57
     Laos
    -0.57
    steen
    -0.57
     Uran
    -0.56
    POSITIVE LOGITS
    edo
    1.10
    oshenko
    0.93
    nel
    0.84
    hiba
    0.83
    asury
    0.83
    flix
    0.81
    obl
    0.80
    aron
    0.78
    oren
    0.76
    orrow
    0.74
    Activations Density 0.101%

    No Known Activations