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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. 9-RES-JB
    11. 11438
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    INDEX
    Explanations

    locations and names of places

    oai_token-act-pair · gpt-3.5-turbo

    elements of location and identification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -0.82
    emort
    -0.78
     conclud
    -0.74
    eatures
    -0.74
    uggest
    -0.73
     stimulus
    -0.69
    enhagen
    -0.68
     livest
    -0.68
     memor
    -0.68
     millenn
    -0.67
    POSITIVE LOGITS
     Switzerland
    1.01
    Spain
    0.93
     Spain
    0.92
    pron
    0.91
    France
    0.90
     Italy
    0.90
     Galile
    0.89
     Morocco
    0.87
     Sicily
    0.87
     Belgium
    0.86
    Activations Density 0.442%

    No Known Activations