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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. 10-RES-JB
    11. 7451
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    Explanations

    numerical values representing quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and specifications related to products or gameplay mechanics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bara
    -0.78
     headline
    -0.71
     Bashar
    -0.70
     postwar
    -0.70
    estine
    -0.68
    ophon
    -0.68
     Carney
    -0.66
     paramilitary
    -0.65
     landlord
    -0.64
     startled
    -0.62
    POSITIVE LOGITS
    %
    1.29
    lbs
    1.28
     mins
    1.21
     pts
    1.21
    +
    1.20
     lbs
    1.19
    mins
    1.18
    mg
    1.16
    mL
    1.14
    fps
    1.12
    Activations Density 0.200%

    No Known Activations