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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. 3199
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    INDEX
    Explanations

    sporting event terms and related action verbs

    oai_token-act-pair · gpt-3.5-turbo

    significant events or turning points in a narrative

    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
    Demand
    -0.90
    Companies
    -0.88
    Currently
    -0.86
    wiki
    -0.84
     Currently
    -0.79
    cult
    -0.78
    OPLE
    -0.77
    netflix
    -0.76
     licences
    -0.76
    emale
    -0.75
    POSITIVE LOGITS
     halftime
    1.33
     scoreboard
    1.24
     replay
    1.20
     touchdown
    1.09
     composure
    1.05
     announ
    1.04
     score
    1.03
     victory
    1.00
     turnovers
    0.98
     scrimmage
    0.98
    Activations Density 0.410%

    No Known Activations