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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. 0-RES-JB
    6. 19465
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    INDEX
    Explanations

    keywords related to the concept of evaluating, judging, or assessing something

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and actions related to assessment and evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pim
    -0.58
     amended
    -0.57
     Virus
    -0.57
     tasted
    -0.57
    pox
    -0.54
     contributed
    -0.54
     consolidated
    -0.54
     objected
    -0.53
     modified
    -0.53
     pes
    -0.52
    POSITIVE LOGITS
    lighting
    1.76
    asuring
    1.74
    imating
    1.69
    orting
    1.65
    ribing
    1.64
    igating
    1.64
    etting
    1.63
    ulating
    1.62
    angering
    1.61
    icing
    1.61
    Activations Density 0.070%

    No Known Activations