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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. 8-RES-JB
    6. 5365
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    INDEX
    Explanations

    numeric hygiene rating values related to environmental and sustainable practices

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiment or descriptions of adverse conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vel
    -0.79
     Galile
    -0.72
     ESC
    -0.64
     Targ
    -0.63
     Rodrigo
    -0.63
     Vive
    -0.62
     Wyn
    -0.62
    nesday
    -0.61
     HOU
    -0.60
     Lanka
    -0.60
    POSITIVE LOGITS
    Specific
    1.02
    specific
    1.02
    appropriate
    1.01
    conscious
    0.95
    based
    0.94
    changing
    0.91
    selection
    0.91
    appropri
    0.89
    relation
    0.88
    attribute
    0.87
    Activations Density 0.105%

    No Known Activations