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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 23776
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    Explanations

    medical-related abbreviations or acronyms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific statistical values or team-related metrics in sports contexts

    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
    velt
    -0.86
    amus
    -0.85
    frames
    -0.83
    frame
    -0.73
    fram
    -0.72
    kamp
    -0.71
    sexual
    -0.70
    phen
    -0.68
    erville
    -0.66
    âĹ¼
    -0.65
    POSITIVE LOGITS
    mpeg
    1.22
    ORTS
    0.92
    iants
    0.90
    ORD
    0.89
    IX
    0.87
    ranch
    0.83
    antasy
    0.82
    VII
    0.81
    OUND
    0.80
    ledged
    0.80
    Activations Density 0.008%

    No Known Activations