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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. 2123
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    Explanations

    when a user needs to re-enter information

    oai_token-act-pair · gpt-3.5-turbo

    instructions or prompts related to entering email addresses

    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
    hest
    -0.62
    killer
    -0.62
    axter
    -0.62
     gunned
    -0.59
    orah
    -0.59
    emo
    -0.59
    elf
    -0.59
     killer
    -0.58
    estic
    -0.57
    ussy
    -0.56
    POSITIVE LOGITS
    prise
    1.50
    prises
    1.39
    tainment
    1.00
    prising
    0.93
    idon
    0.77
    taining
    0.75
    tain
    0.75
    ipher
    0.70
    jection
    0.68
    LECT
    0.67
    Activations Density 0.008%

    No Known Activations