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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 2769
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    Explanations

    names specifically the name "Paxton"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

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

    No Comments

    Negative Logits
     livest
    -0.84
    ename
    -0.83
     mathemat
    -0.74
    tymology
    -0.71
     masc
    -0.69
    natureconservancy
    -0.67
    iminary
    -0.67
    Reviewer
    -0.63
    76561
    -0.62
    culated
    -0.62
    POSITIVE LOGITS
     Hale
    0.91
     Heath
    0.79
    stown
    0.79
     Percy
    0.77
    augh
    0.77
    oked
    0.76
    ius
    0.75
    anus
    0.73
    bos
    0.73
    ania
    0.72
    Activations Density 0.013%

    No Known Activations