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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. 9-RES-JB
    6. 19155
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    INDEX
    Explanations

    instances where a minimum threshold or level is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a minimum requirement or threshold

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tions
    -0.77
    rats
    -0.65
    quit
    -0.63
    icides
    -0.62
    kai
    -0.62
    omics
    -0.61
    ãĤ¿
    -0.60
    oris
    -0.60
     Dynamics
    -0.60
     deletion
    -0.60
    POSITIVE LOGITS
     partially
    0.98
     partly
    0.92
     SOME
    0.86
    lik
    0.79
     temporarily
    0.78
     moderately
    0.75
     marginally
    0.75
     mildly
    0.72
     somewhat
    0.70
     partial
    0.70
    Activations Density 0.032%

    No Known Activations