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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. 0-RES-JB
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    INDEX
    Explanations

    phrases starting with "That"

    oai_token-act-pair · gpt-3.5-turbo

    the word "That" to denote significant statements or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mort
    -0.71
     pal
    -0.68
     barg
    -0.63
     due
    -0.58
     pr
    -0.58
     v
    -0.58
     rou
    -0.58
     secondary
    -0.58
     mer
    -0.58
     preferred
    -0.57
    POSITIVE LOGITS
    That
    2.79
    Those
    1.90
     That
    1.79
    Such
    1.68
    Then
    1.68
    And
    1.68
    Which
    1.64
    Indeed
    1.61
    that
    1.57
    They
    1.54
    Activations Density 0.025%

    No Known Activations