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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. 6-RES-JB
    11. 21837
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    Explanations

    phrases related to sports, particularly focusing on hitting home runs

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring in baseball, particularly home runs and runs scored

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.97
    arest
    -0.78
    urnal
    -0.77
     MFT
    -0.74
     srfAttach
    -0.72
     PLAN
    -0.66
    MSN
    -0.66
    ļéĨĴ
    -0.65
    Ħ¢
    -0.64
    rir
    -0.63
    POSITIVE LOGITS
     batted
    0.90
     scored
    0.80
     hitters
    0.77
    gers
    0.77
    uracy
    0.75
     derby
    0.74
    anish
    0.71
     scorer
    0.70
     rebounds
    0.69
     apiece
    0.68
    Activations Density 0.016%

    No Known Activations