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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. 7-RES-JB
    11. 23114
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    Explanations

    phrases related to problem-solving or resolving something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to resolving or working through situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cious
    -0.73
    interstitial
    -0.70
    âĵĺ
    -0.66
    erva
    -0.65
    avorite
    -0.64
    avin
    -0.64
    asus
    -0.63
     Pry
    -0.63
     tyr
    -0.61
    uggish
    -0.60
    POSITIVE LOGITS
    fitting
    0.87
    fitted
    0.78
    flows
    0.71
    posts
    0.71
     beforehand
    0.70
    stretched
    0.70
     how
    0.69
    flow
    0.66
    icago
    0.64
     ways
    0.64
    Activations Density 0.015%

    No Known Activations