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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. 4-RES-JB
    11. 9669
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    Explanations

    phrases related to solving a problem or coming to a resolution

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "work out."

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

    No Comments

    Negative Logits
    avorite
    -0.86
    asus
    -0.76
    cious
    -0.70
    cius
    -0.70
    etsk
    -0.70
    erva
    -0.67
     tyr
    -0.65
     Mub
    -0.62
    interstitial
    -0.60
    antry
    -0.60
    POSITIVE LOGITS
    fitted
    0.78
    lier
    0.71
    framework
    0.71
    size
    0.70
    fitting
    0.70
     Burnett
    0.69
    wards
    0.68
    posts
    0.66
    flows
    0.65
    icago
    0.63
    Activations Density 0.021%

    No Known Activations