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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. 1292
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    Explanations

    phrases related to trades in sports

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe transactions or trades involving teams or players

    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
    atomic
    -0.74
    eness
    -0.72
     diplom
    -0.71
    ignty
    -0.70
    edition
    -0.69
    zanne
    -0.68
    acci
    -0.68
    unction
    -0.68
    0000000
    -0.67
    tests
    -0.66
    POSITIVE LOGITS
     Memphis
    1.09
     Philadelphia
    1.08
     Detroit
    1.08
     Buffalo
    1.07
     Pittsburgh
    1.06
     Tampa
    1.05
     Miami
    1.04
     Oakland
    1.03
     Dallas
    1.02
     Sacramento
    1.02
    Activations Density 0.159%

    No Known Activations