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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. 3-RES-JB
    11. 9617
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    Explanations

    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms associated with personal identities and notable individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.73
    Ô
    -0.68
    ways
    -0.68
    enegger
    -0.67
    rency
    -0.66
     abdom
    -0.63
     trenches
    -0.62
    arez
    -0.61
     Sicily
    -0.60
     toile
    -0.60
    POSITIVE LOGITS
    angelo
    0.91
    sels
    0.76
    oshenko
    0.75
    akura
    0.72
    antage
    0.71
    cas
    0.70
    hoe
    0.69
    asus
    0.68
    oyal
    0.68
    bon
    0.66
    Activations Density 0.397%

    No Known Activations