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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. 9-RES-JB
    11. 19860
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    Explanations

    numerical leads in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    references to lead changes in competitive scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aida
    -0.69
    ROR
    -0.69
     concess
    -0.62
    iates
    -0.60
    arus
    -0.60
    urers
    -0.59
    tein
    -0.59
    andro
    -0.58
     migrants
    -0.58
     identities
    -0.58
    POSITIVE LOGITS
     over
    0.75
    swing
    0.70
    grab
    0.70
    noon
    0.70
    over
    0.70
    wart
    0.69
    rush
    0.67
    hunter
    0.66
    now
    0.66
    ener
    0.65
    Activations Density 0.028%

    No Known Activations