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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. 5-RES-JB
    6. 22208
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    Explanations

    names and terms related to specific geographical locations and people

    oai_token-act-pair · gpt-3.5-turbo

    words that relate to names or identifiers associated with people or entities

    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
     antip
    -0.63
     underpin
    -0.60
     pus
    -0.59
     bub
    -0.58
     mars
    -0.58
    )=(
    -0.57
    iasco
    -0.56
    phe
    -0.55
    olis
    -0.55
    çīĪ
    -0.55
    POSITIVE LOGITS
    uthor
    0.89
    uni
    0.79
    URI
    0.78
    ´
    0.78
    »
    0.73
    ugi
    0.72
    ¦
    0.72
    ¶æ
    0.69
     Grip
    0.69
    jin
    0.69
    Activations Density 0.120%

    No Known Activations