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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. 1783
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    Explanations

    references to specific rounds in competitions or events

    oai_token-act-pair · gpt-3.5-turbo

    references to stages or rounds in competitions or processes

    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
     Hots
    -0.63
    uras
    -0.61
     Fas
    -0.61
     ful
    -0.60
    ãĤ¿
    -0.60
     Ack
    -0.59
     stru
    -0.59
     appre
    -0.59
    aith
    -0.58
     Chains
    -0.58
    POSITIVE LOGITS
     rob
    1.11
    trip
    0.97
    naire
    0.95
    naires
    0.86
    about
    0.84
    table
    0.84
    abouts
    0.82
    stakes
    0.80
    nings
    0.78
    finals
    0.77
    Activations Density 0.028%

    No Known Activations