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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. 3-RES-JB
    11. 5669
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    Explanations

    commands and parameters in a technical setting

    oai_token-act-pair · gpt-3.5-turbo

    references to code or programming concepts and syntax

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EVA
    -0.88
    everal
    -0.76
    axies
    -0.76
    AAA
    -0.76
    erville
    -0.73
    glomer
    -0.72
    agonist
    -0.71
    acus
    -0.70
    ento
    -0.69
    terness
    -0.69
    POSITIVE LOGITS
    user
    0.91
    prefix
    0.88
    tmp
    0.88
    username
    0.84
    log
    0.83
    config
    0.83
    file
    0.82
    password
    0.81
    global
    0.79
     grep
    0.79
    Activations Density 0.163%

    No Known Activations