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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. 9-RES-JB
    11. 23600
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    Explanations

    phrases related to sports player evaluations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate player selection and evaluation 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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    POL
    -0.72
    etz
    -0.69
    Operation
    -0.69
     Saud
    -0.66
    Democratic
    -0.66
     Telephone
    -0.66
    Government
    -0.66
    uphem
    -0.66
     Orwell
    -0.66
    government
    -0.64
    POSITIVE LOGITS
     careers
    1.40
     rosters
    1.35
     rookies
    1.25
     teammates
    1.15
     storylines
    1.03
     themselves
    1.02
     roster
    1.02
     salaries
    1.01
     offseason
    1.00
     rookie
    1.00
    Activations Density 0.576%

    No Known Activations