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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. 10-RES-JB
    11. 4815
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    Explanations

    statements or questions about uncertainty or decision-making

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Catalog
    -0.80
    oola
    -0.76
    venth
    -0.71
    ulo
    -0.71
    yssey
    -0.71
    icter
    -0.71
    oxide
    -0.70
    icult
    -0.70
    Eye
    -0.69
    gression
    -0.68
    POSITIVE LOGITS
     there
    1.02
     or
    1.00
     anyone
    0.96
     they
    0.89
     anybody
    0.85
    soever
    0.84
     any
    0.80
     it
    0.80
     anything
    0.77
     he
    0.77
    Activations Density 0.068%

    No Known Activations