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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. 5691
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    Explanations

    phrases related to assessing capabilities or potential in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    potentially impactful players in a sports context

    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
     Columb
    -0.74
    mits
    -0.69
     Words
    -0.68
     Nationwide
    -0.68
    raq
    -0.68
     condemning
    -0.66
     Cruel
    -0.65
     Stupid
    -0.64
     Palest
    -0.63
    yrics
    -0.62
    POSITIVE LOGITS
     outper
    1.31
     excel
    1.30
     thrive
    1.21
     exce
    1.11
     synerg
    1.10
     complement
    1.08
     thri
    1.04
     suited
    1.03
     fit
    1.02
     slot
    1.02
    Activations Density 0.355%

    No Known Activations