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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 22297
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    Explanations

    terms related to software development, specifically events and event handling

    oai_token-act-pair · gpt-3.5-turbo

    mentions of events and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artisan
    -0.79
    ghan
    -0.70
     porous
    -0.69
    ately
    -0.67
    nington
    -0.66
    eco
    -0.66
    axter
    -0.66
    zza
    -0.65
    grown
    -0.65
    creen
    -0.64
    POSITIVE LOGITS
    uate
    1.06
    ually
    0.97
    uating
    0.95
    Args
    0.94
    uates
    0.93
    ual
    0.92
    uated
    0.91
    ctrl
    0.83
    eering
    0.80
    Em
    0.78
    Activations Density 0.029%

    No Known Activations