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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. 3-RES-JB
    11. 18317
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    Explanations

    terms related to action or excitement, particularly in the context of movies or games

    oai_token-act-pair · gpt-3.5-turbo

    references to action sequences or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ©¶æ
    -0.72
    mbuds
    -0.72
    conservancy
    -0.71
    gling
    -0.71
    è£ħ
    -0.70
    uran
    -0.68
    ħ
    -0.67
     scattering
    -0.64
    ĨĴ
    -0.64
    reshold
    -0.64
    POSITIVE LOGITS
    bucks
    0.88
     action
    0.82
     Replay
    0.81
    ual
    0.80
    bender
    0.76
    uality
    0.75
    tec
    0.75
    ional
    0.75
    acebook
    0.73
    naire
    0.72
    Activations Density 0.023%

    No Known Activations