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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    references to the term "Thunder."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Thunder" and related terms

    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
    VICE
    -0.88
    76561
    -0.82
    FORMATION
    -0.80
    LECT
    -0.80
    Constructed
    -0.77
    Attempts
    -0.70
    ATIONAL
    -0.69
    ellar
    -0.68
    ablishment
    -0.68
    VERS
    -0.68
    POSITIVE LOGITS
    storms
    1.27
    bird
    1.05
    storm
    1.05
    birds
    0.99
    bol
    0.98
    stru
    0.97
     Thunder
    0.86
    bolt
    0.83
    urous
    0.82
    idth
    0.81
    Activations Density 0.006%

    No Known Activations