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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. 8-RES-JB
    11. 5050
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    Explanations

    statistical information related to research studies

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to studies and surveys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     claws
    -0.67
     fame
    -0.65
     lockout
    -0.64
     Nou
    -0.64
     rents
    -0.64
     multiplier
    -0.63
    inventoryQuantity
    -0.62
    ":[
    -0.61
     Scourge
    -0.61
     sooner
    -0.61
    POSITIVE LOGITS
     randomly
    0.95
     randomized
    0.95
     prospective
    0.83
     constituent
    0.82
     random
    0.80
     individual
    0.80
     undergraduate
    0.78
     dozen
    0.77
     subjects
    0.76
     consecutive
    0.75
    Activations Density 0.244%

    No Known Activations