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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. 24144
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to upcoming events and scheduling

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    mop
    -0.64
    tein
    -0.61
     Toggle
    -0.59
    agate
    -0.58
     Shotgun
    -0.58
     rarity
    -0.56
    mosp
    -0.56
    brush
    -0.55
    ifle
    -0.55
    =-=-=-=-=-=-=-=-
    -0.54
    POSITIVE LOGITS
     to
    0.78
    graded
    0.72
     poised
    0.67
    atile
    0.66
    raged
    0.64
     headed
    0.63
     soon
    0.62
    enced
    0.61
     Parenthood
    0.61
    untarily
    0.60
    Activations Density 0.127%

    No Known Activations