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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. 7-RES-JB
    11. 13392
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    Explanations

    terms related to the concept of mastery or excellence

    oai_token-act-pair · gpt-3.5-turbo

    references to master's degrees or master plans

    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
    OPLE
    -0.72
    IDER
    -0.72
    enegger
    -0.71
    AAF
    -0.65
    DEN
    -0.64
    hedon
    -0.64
     Aren
    -0.63
     Torn
    -0.62
    IGHTS
    -0.61
    tics
    -0.60
    POSITIVE LOGITS
    pieces
    1.41
    piece
    1.25
    mind
    1.12
    class
    0.98
    stroke
    0.97
    sonian
    0.91
    classes
    0.91
    work
    0.89
    fully
    0.86
    slave
    0.84
    Activations Density 0.035%

    No Known Activations