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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    the adjective "easy."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "easy"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eters
    -0.77
    grave
    -0.73
    raints
    -0.73
    rongh
    -0.72
    hips
    -0.67
     Saud
    -0.62
    orf
    -0.62
     strongly
    -0.62
     Buckingham
    -0.62
    mut
    -0.62
    POSITIVE LOGITS
    Jet
    1.14
    going
    0.95
     prey
    0.76
    coded
    0.73
    Recipe
    0.72
    answer
    0.69
    idious
    0.69
    azon
    0.69
    step
    0.69
    jet
    0.68
    Activations Density 0.056%

    No Known Activations