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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. 12-RES-JB
    11. 3916
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    INDEX
    Explanations

    sports-related terms and statistics

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    specific metrics and statistics related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    incial
    -0.86
    oided
    -0.79
    omsky
    -0.77
    ottenham
    -0.76
    Origin
    -0.74
    ograp
    -0.74
    FORE
    -0.74
     Oslo
    -0.73
    enezuel
    -0.72
    bledon
    -0.71
    POSITIVE LOGITS
     lineback
    1.39
     rushing
    1.15
     stout
    1.12
     linebackers
    1.08
     backfield
    1.08
     rusher
    1.02
     pass
    1.01
     offense
    1.01
     passing
    1.01
     receivers
    1.00
    Activations Density 0.236%

    No Known Activations