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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. 4-RES-JB
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    Explanations

    references to achievements or events related to hitting home runs in baseball

    oai_token-act-pair · gpt-3.5-turbo

    mentions of home runs in a baseball context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.82
     Borders
    -0.70
     srfAttach
    -0.67
    Char
    -0.66
     Males
    -0.63
    Priv
    -0.62
     Parad
    -0.62
     MFT
    -0.60
    ij
    -0.60
    yet
    -0.59
    POSITIVE LOGITS
     batted
    0.97
     hitters
    0.95
    BIP
    0.88
     RBI
    0.83
     rebounds
    0.82
    swick
    0.81
     hitter
    0.81
     batters
    0.80
     derby
    0.75
     scorer
    0.75
    Activations Density 0.017%

    No Known Activations