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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. 738
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    INDEX
    Explanations

    names or words containing "Hun" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to hunting or related activities

    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
    ngth
    -0.69
    AGE
    -0.69
    toe
    -0.64
    DCS
    -0.64
     Colossus
    -0.63
     Tone
    -0.62
     Byrne
    -0.61
     subtract
    -0.61
     Birch
    -0.60
     connecting
    -0.60
    POSITIVE LOGITS
    cheon
    1.17
    ters
    1.14
    ches
    1.03
    kered
    1.00
    eteenth
    0.98
    ger
    0.96
    ting
    0.95
    nam
    0.95
    sts
    0.93
    zees
    0.93
    Activations Density 0.012%

    No Known Activations