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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. 9-RES-JB
    11. 23486
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    Explanations

    various forms of the word "engage" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "engage" and its variations

    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
    bey
    -0.61
    ological
    -0.57
    pler
    -0.57
    hee
    -0.56
    dylib
    -0.55
    etry
    -0.55
     Printed
    -0.55
    perm
    -0.54
    aya
    -0.54
    ahon
    -0.53
    POSITIVE LOGITS
    ments
    0.86
    lished
    0.83
    ienced
    0.80
    ãĥĦ
    0.75
    TAIN
    0.73
    cius
    0.71
    forces
    0.71
    ingly
    0.71
    antically
    0.69
    ully
    0.69
    Activations Density 0.042%

    No Known Activations