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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. 8-RES-JB
    11. 1919
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    Explanations

    specific nouns, such as 'videos', 'girls', 'documents', 'missiles', 'images', 'students', 'laptops', 'reports', 'vessels', 'animals', 'proposals', 'scripts', 'articles', 'platforms', 'boats', and 'ad

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to various entities and items mentioned in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ALLY
    -0.72
    wise
    -0.63
    lua
    -0.62
    ERAL
    -0.62
    cation
    -0.61
    Dub
    -0.60
    atever
    -0.59
    OUS
    -0.59
     Dhabi
    -0.58
    cro
    -0.58
    POSITIVE LOGITS
     themselves
    1.35
    etter
    0.97
    '
    0.97
    cape
    0.92
     were
    0.92
    hips
    0.91
    etting
    0.89
    heet
    0.86
    ']
    0.85
    hip
    0.85
    Activations Density 0.302%

    No Known Activations