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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
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    Explanations

    references to the name "Huston"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Huston" in various 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
    */(
    -1.01
    ãĤ´ãĥ³
    -0.76
    istically
    -0.74
    iser
    -0.69
    perty
    -0.69
    merce
    -0.68
     breath
    -0.67
    sembly
    -0.67
    QUEST
    -0.67
    USE
    -0.66
    POSITIVE LOGITS
     Hust
    1.08
    ernaut
    0.93
    nuts
    0.82
    bugs
    0.81
    ilda
    0.81
    lers
    0.81
    sburg
    0.81
    ingly
    0.80
    rix
    0.78
    ler
    0.77
    Activations Density 0.008%

    No Known Activations