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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. 9-RES-JB
    11. 23232
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    Explanations

    mentions or occurrences of the word "master"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "master" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.78
    vernment
    -0.73
    OPLE
    -0.72
    IDER
    -0.67
     Torn
    -0.65
    hedon
    -0.63
    vati
    -0.63
    IGH
    -0.63
     Rasm
    -0.60
    ople
    -0.60
    POSITIVE LOGITS
    pieces
    1.53
    piece
    1.32
    mind
    1.12
    stroke
    1.08
    classes
    1.01
    class
    1.01
    work
    0.89
    minded
    0.89
    sonian
    0.88
    fully
    0.88
    Activations Density 0.044%

    No Known Activations