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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. 826
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    INDEX
    Explanations

    responses or reactions to various topics or situations

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "respond" and associated terms related to response or accountability

    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
    BALL
    -0.81
    fare
    -0.74
    ctors
    -0.69
     devils
    -0.69
    âĸ¬
    -0.66
    âĢ¢âĢ¢
    -0.64
     Tanzania
    -0.63
    WARE
    -0.63
     Leone
    -0.63
     Wand
    -0.63
    POSITIVE LOGITS
    onding
    1.09
    awn
    1.06
    ibilities
    0.99
    onds
    0.97
    onder
    0.97
    rha
    0.95
    Resp
    0.93
    umph
    0.92
    ibly
    0.92
    ensible
    0.91
    Activations Density 0.019%

    No Known Activations