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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 5595
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    INDEX
    Explanations

    comparisons of quantities or qualities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to intensity or severity of situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oken
    -0.69
    icum
    -0.64
    ebus
    -0.64
    ember
    -0.63
    joined
    -0.63
    retched
    -0.61
    sha
    -0.58
    ãĥ¯ãĥ³
    -0.58
    emed
    -0.57
     entirety
    -0.57
    POSITIVE LOGITS
     healthier
    0.96
     smoother
    0.78
    natureconservancy
    0.75
     faster
    0.75
     harder
    0.73
     happier
    0.71
     nearer
    0.70
     quicker
    0.70
     smarter
    0.70
     easier
    0.70
    Activations Density 0.061%

    No Known Activations