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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. 11-RES-JB
    11. 14157
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    Explanations

    academic or professional levels or classifications

    oai_token-act-pair · gpt-3.5-turbo

    references to different levels or tiers of quality, governance, or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imens
    -0.62
    article
    -0.61
     dossier
    -0.57
    pour
    -0.56
    usha
    -0.56
    liction
    -0.55
     insepar
    -0.55
     persona
    -0.55
    elin
    -0.54
    vironment
    -0.54
    POSITIVE LOGITS
     behest
    1.32
     expense
    1.28
     level
    1.23
     helm
    1.00
     checkpoints
    1.00
     intersections
    0.98
     headquarters
    0.94
     levels
    0.93
     checkpoint
    0.92
     doorstep
    0.91
    Activations Density 0.447%

    No Known Activations