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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. 22355
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    Explanations

    phrases related to societal or ethical issues concerning various demographics and practices

    oai_token-act-pair · gpt-3.5-turbo

    references to animal welfare and the implications of industrial practices

    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
     Tomorrow
    -0.63
    interrupted
    -0.63
    inside
    -0.60
     Together
    -0.59
    acca
    -0.59
    igsaw
    -0.57
    inders
    -0.57
     Inside
    -0.57
    Inside
    -0.57
     Oops
    -0.55
    POSITIVE LOGITS
     usually
    1.72
     rarely
    1.69
     generally
    1.67
     typically
    1.64
     invariably
    1.60
    usually
    1.60
     often
    1.59
     seldom
    1.59
    often
    1.55
     tends
    1.54
    Activations Density 0.770%

    No Known Activations