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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 17504
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    Explanations

    pairings or comparisons between different entities

    oai_token-act-pair · gpt-3.5-turbo

    the word "both" and its contexts in various phrases

    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
     phase
    -0.64
     refriger
    -0.63
     template
    -0.62
     headquarters
    -0.62
     contra
    -0.62
     en
    -0.61
     signature
    -0.61
     mail
    -0.61
     territory
    -0.61
     secret
    -0.61
    POSITIVE LOGITS
    both
    3.55
    bottom
    1.55
    especially
    1.50
    particularly
    1.48
    those
    1.43
    either
    1.40
    also
    1.36
    many
    1.33
    these
    1.32
    mostly
    1.23
    Activations Density 0.020%

    No Known Activations