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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. 9-RES-JB
    6. 11896
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    Explanations

    technical specifications, measurements, and features related to electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    types and specifications of television shows or media content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worldly
    -0.68
    hower
    -0.63
     Bangl
    -0.57
     suff
    -0.55
     Ãĸ
    -0.55
     Predator
    -0.55
    BUS
    -0.55
    ãĥ¼ãĥĨ
    -0.55
     coli
    -0.54
     Lew
    -0.54
    POSITIVE LOGITS
    ifty
    0.84
    inches
    0.81
    ingers
    0.80
    okemon
    0.79
    levard
    0.79
    illet
    0.75
    ĵĺ
    0.74
    inch
    0.74
    gall
    0.73
    ongyang
    0.72
    Activations Density 0.173%

    No Known Activations