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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. 7-RES-JB
    6. 3299
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    Explanations

    phrases related to requirements or conditions that need to be met

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of demand and obligation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yd
    -0.70
    thia
    -0.70
    FL
    -0.68
    itten
    -0.68
    fal
    -0.67
    ydia
    -0.67
    outheastern
    -0.66
     presided
    -0.66
    ãĤ¶
    -0.65
    brand
    -0.65
    POSITIVE LOGITS
     us
    0.80
     confirmation
    0.76
     limitless
    0.73
     traveller
    0.70
    geries
    0.69
     probabilities
    0.69
     miracles
    0.69
     impossibility
    0.68
     unrestricted
    0.66
     him
    0.66
    Activations Density 0.367%

    No Known Activations