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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. 21678
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    Explanations

    people's names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with specific names or references, possibly indicating characters or entities in a narrative

    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
    Not in Any Lists

    No Comments

    Negative Logits
    llah
    -0.69
     conscience
    -0.66
    OPLE
    -0.66
    merce
    -0.63
     tumble
    -0.61
     lur
    -0.59
     FTA
    -0.58
     mistaken
    -0.58
    =-=-
    -0.57
     dads
    -0.57
    POSITIVE LOGITS
    heed
    1.06
    emort
    0.98
    uania
    0.89
    ttle
    0.86
    achev
    0.85
    cious
    0.84
    ansk
    0.81
    vel
    0.80
    gren
    0.79
    anchester
    0.79
    Activations Density 0.113%

    No Known Activations