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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. 10-RES-JB
    11. 6123
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    INDEX
    Explanations

    descriptions of physical ability and performance in sports

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating abilities and potential in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cloth
    -0.68
     Binding
    -0.67
    consuming
    -0.66
    listed
    -0.66
     Federation
    -0.65
     recommendations
    -0.64
    binding
    -0.64
     depictions
    -0.64
     Freem
    -0.64
     republic
    -0.63
    POSITIVE LOGITS
     rebound
    1.32
     bounce
    1.31
     capitalize
    1.29
     compete
    1.28
     dominate
    1.25
     win
    1.22
     thrive
    1.20
     steal
    1.18
     play
    1.18
     clinch
    1.18
    Activations Density 0.177%

    No Known Activations