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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. 1-RES-JB
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    Explanations

    any mentions of the number "180"

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to the measure of 180

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tz
    -0.80
    glas
    -0.77
    book
    -0.75
    bid
    -0.75
    ensional
    -0.74
    hran
    -0.73
    zig
    -0.72
    piracy
    -0.72
    myra
    -0.71
    gotten
    -0.71
    POSITIVE LOGITS
     ILCS
    0.90
    °
    0.80
     carbohyd
    0.78
     degrees
    0.77
     simultane
    0.75
    º
    0.75
     suspic
    0.71
    aution
    0.70
    iatus
    0.70
    ModLoader
    0.69
    Activations Density 0.017%

    No Known Activations