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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 13545
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    Explanations

    names of individuals, likely related to sports and news

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and initials

    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
    å§«
    -0.81
     Dhabi
    -0.71
    urat
    -0.71
     Confederation
    -0.70
    ModLoader
    -0.68
    iliate
    -0.67
    ruary
    -0.66
     Romanian
    -0.65
    perty
    -0.65
     Punjab
    -0.65
    POSITIVE LOGITS
    fork
    0.76
    otten
    0.74
    antz
    0.73
    gold
    0.72
    Connor
    0.70
    aghan
    0.69
    horn
    0.69
    raz
    0.67
    agan
    0.67
    lake
    0.66
    Activations Density 0.185%

    No Known Activations