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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. 1619
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    Explanations

    references to baseball-related terms, specifically focusing on achievements like home runs and runs scored

    oai_token-act-pair · gpt-3.5-turbo

    references to runs and scoring in baseball

    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
    abus
    -0.67
    ffect
    -0.66
     Males
    -0.66
    opol
    -0.66
     âĸº
    -0.65
     VIS
    -0.65
    iance
    -0.64
     Imperium
    -0.64
    ille
    -0.64
    Patch
    -0.64
    POSITIVE LOGITS
     batted
    1.04
     scored
    0.98
     hitter
    0.90
     hitters
    0.87
     homers
    0.87
     derby
    0.84
     homer
    0.83
     scorer
    0.80
     RBI
    0.79
    BIP
    0.79
    Activations Density 0.036%

    No Known Activations