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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. 3-RES-JB
    11. 2962
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    Explanations

    text related to a person's name "Bet"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Bet" and related betting contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.79
    anwhile
    -0.78
    nesota
    -0.72
    OPLE
    -0.72
    VILLE
    -0.71
     eclipse
    -0.66
     Tome
    -0.66
    ãģķ
    -0.66
     presses
    -0.65
    allery
    -0.65
    POSITIVE LOGITS
    ting
    1.25
    hesda
    1.10
    tery
    0.98
    ron
    0.95
    lehem
    0.94
    rol
    0.94
    ray
    0.92
    terson
    0.92
    terness
    0.91
    ters
    0.88
    Activations Density 0.007%

    No Known Activations