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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. 6601
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    Explanations

    phrases related to specific actions or steps in instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to fans and related activities or 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
    .","
    -0.66
     ..."
    -0.63
    .</
    -0.63
    OTA
    -0.62
    toggle
    -0.62
    ..."
    -0.62
    Enlarge
    -0.61
    ,...
    -0.60
    ---
    -0.59
    âĢ
    -0.57
    POSITIVE LOGITS
    theless
    0.84
    intosh
    0.82
     smoker
    0.78
    miah
    0.74
    strous
    0.72
    uterte
    0.71
    etheless
    0.70
    Dialogue
    0.70
    ertodd
    0.69
     gore
    0.69
    Activations Density 0.385%

    No Known Activations