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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. 0-RES-JB
    11. 16870
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    Explanations

    proper nouns with the prefix "Imp" and the number 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    references to "Imp" and related variations in context, indicating it's focused on aspects linked to that term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     embed
    -0.72
     polyg
    -0.71
     lineback
    -0.68
    corn
    -0.67
     Bryan
    -0.66
    nik
    -0.65
    Ell
    -0.65
    iannopoulos
    -0.64
     Tyson
    -0.64
     hen
    -0.64
    POSITIVE LOGITS
     Imp
    2.81
    Imp
    1.57
    arma
    1.55
    isman
    1.23
    voy
    1.11
     renovations
    0.96
     Archdemon
    0.95
    pri
    0.95
     impairment
    0.87
     Exc
    0.87
    Activations Density 0.026%

    No Known Activations