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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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    Explanations

    phrases introducing explanatory content

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "As."

    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
    mouth
    -0.67
     hall
    -0.64
    manship
    -0.63
     prize
    -0.62
     foot
    -0.61
     password
    -0.60
     done
    -0.60
     unsolved
    -0.59
     commemor
    -0.59
     print
    -0.58
    POSITIVE LOGITS
    As
    3.04
    While
    1.63
    At
    1.63
    Once
    1.54
    With
    1.53
    Finally
    1.52
    Though
    1.52
    Although
    1.51
     As
    1.51
    Is
    1.50
    Activations Density 0.028%

    No Known Activations