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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. 2-RES-JB
    11. 11670
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    Explanations

    phrases related to a specific word, "otta"

    oai_token-act-pair · gpt-3.5-turbo

    references to food or food-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Portland
    -0.76
    doc
    -0.70
    travel
    -0.70
     AQ
    -0.68
    STATE
    -0.67
    Austin
    -0.67
    draw
    -0.66
    lvl
    -0.66
    policy
    -0.66
    Hop
    -0.65
    POSITIVE LOGITS
    otta
    0.96
    hedral
    0.85
    onna
    0.82
    essen
    0.81
    odon
    0.80
    ignty
    0.79
    ella
    0.79
    issan
    0.78
    chio
    0.77
    DonaldTrump
    0.77
    Activations Density 0.003%

    No Known Activations