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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. 4-RES-JB
    11. 16853
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    Explanations

    mentions of a specific software or technology platform

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific query language or framework

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

    No Comments

    Negative Logits
    ufact
    -0.85
    fulness
    -0.82
     Magicka
    -0.71
    coni
    -0.71
     Lauder
    -0.67
     fullest
    -0.66
    uania
    -0.64
    ischer
    -0.61
     immobil
    -0.61
     ages
    -0.60
    POSITIVE LOGITS
    UE
    1.11
    ues
    0.95
    atari
    0.92
    WER
    0.90
    uably
    0.89
    ued
    0.88
    atana
    0.83
    DN
    0.83
    iao
    0.82
    naire
    0.80
    Activations Density 0.013%

    No Known Activations