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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. 6-RES-JB
    11. 3742
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    Explanations

    words related to sports and physical activities

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to sports and traditional practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nikov
    -0.84
    osponsors
    -0.77
    TeX
    -0.73
     Emails
    -0.73
    ardy
    -0.67
    loo
    -0.65
    tower
    -0.65
     Towers
    -0.65
    Draft
    -0.64
     backups
    -0.63
    POSITIVE LOGITS
     synonymous
    0.86
     taboo
    0.84
     subsistence
    0.81
     traditionally
    0.77
     socially
    0.77
     imaginable
    0.75
     staple
    0.74
     superpower
    0.73
     epit
    0.73
     rite
    0.72
    Activations Density 0.890%

    No Known Activations