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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. 5174
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    Explanations

    numerical leads or advantages in sports games

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to scoring or leading in a competitive context, especially in sports

    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
     concess
    -0.69
    cellence
    -0.60
    aida
    -0.59
     Rebell
    -0.58
     Fault
    -0.58
    ROR
    -0.57
    arus
    -0.57
    irlf
    -0.56
    odor
    -0.56
     aber
    -0.55
    POSITIVE LOGITS
    breaker
    0.77
    off
    0.77
    ener
    0.75
    iture
    0.74
    now
    0.73
    over
    0.73
    nings
    0.72
    overs
    0.71
     over
    0.71
    holder
    0.71
    Activations Density 0.031%

    No Known Activations