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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22519
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    Explanations

    names related to legal or political figures

    oai_token-act-pair · gpt-3.5-turbo

    names or titles of individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ghai
    -0.76
     Orb
    -0.63
     Geek
    -0.62
    etsk
    -0.61
    alys
    -0.60
    olulu
    -0.60
    orthern
    -0.59
    acity
    -0.59
    gate
    -0.58
    unct
    -0.58
    POSITIVE LOGITS
    WOOD
    1.49
    BALL
    1.48
    VILLE
    1.46
    FIL
    1.45
     EDITION
    1.44
    URA
    1.44
    SON
    1.41
    MAN
    1.41
    WOR
    1.39
    HEAD
    1.39
    Activations Density 0.292%

    No Known Activations