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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
    11. 15715
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    Explanations

    backgrounds or settings described as a prominent feature within text

    oai_token-act-pair · gpt-3.5-turbo

    references to backdrops or settings in various contexts

    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
    ldon
    -0.80
    umerable
    -0.75
    secut
    -0.74
    vals
    -0.73
    cial
    -0.73
    ishops
    -0.72
    alties
    -0.72
    ishable
    -0.69
    ike
    -0.69
    ment
    -0.68
    POSITIVE LOGITS
     backdrop
    1.59
    GROUND
    0.84
    drops
    0.81
     attRot
    0.78
    FORE
    0.76
    theme
    0.73
     EDITION
    0.73
    Reloaded
    0.73
     Theme
    0.69
    ĸļ
    0.69
    Activations Density 0.005%

    No Known Activations