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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. 9-RES-JB
    11. 23915
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    Explanations

    proper nouns, particularly focusing on names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names and proper nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.99
     extraction
    -0.65
     AAC
    -0.65
    nces
    -0.63
    heric
    -0.63
    imity
    -0.58
    %:
    -0.57
    hower
    -0.57
     STA
    -0.57
    Prev
    -0.56
    POSITIVE LOGITS
    roman
    0.73
    dden
    0.70
     Barron
    0.67
     corners
    0.63
     drawer
    0.62
    ictionary
    0.62
     watering
    0.60
     surrogate
    0.58
     pounds
    0.58
     Ellison
    0.57
    Activations Density 0.265%

    No Known Activations