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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. 8032
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    Explanations

    mentions of official meetings or events

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of gatherings or events

    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
    haar
    -0.82
    ould
    -0.78
    ystem
    -0.76
    thood
    -0.74
    anol
    -0.70
    vae
    -0.68
    nect
    -0.67
    omething
    -0.67
    afort
    -0.67
    ween
    -0.65
    POSITIVE LOGITS
     festivities
    1.01
     itself
    0.88
     proceedings
    0.79
     organisers
    0.74
     recounted
    0.73
     unfold
    0.71
     finale
    0.71
     unsc
    0.71
     unfolding
    0.70
     organizers
    0.69
    Activations Density 0.206%

    No Known Activations