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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. 6-RES-JB
    11. 4140
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    Explanations

    names of individuals, likely using the format "First Name X" for the full name

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agascar
    -0.87
    ngth
    -0.81
    emies
    -0.75
    ategy
    -0.72
    peria
    -0.68
    Marie
    -0.66
    IUM
    -0.65
    INA
    -0.65
    ãĤ¤ãĥĪ
    -0.64
    dfx
    -0.63
    POSITIVE LOGITS
    zen
    0.65
     Ans
    0.64
    aud
    0.63
    Brew
    0.62
     advis
    0.61
    enson
    0.61
    atta
    0.59
    sell
    0.58
     unlucky
    0.58
    Han
    0.57
    Activations Density 0.113%

    No Known Activations