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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. 2-RES-JB
    11. 8212
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    Explanations

    references to cyclists or cycling-related terms

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.81
    itia
    -0.79
    aples
    -0.76
    ional
    -0.74
    iary
    -0.71
    ariat
    -0.68
    nesses
    -0.68
    ilts
    -0.68
     presumptive
    -0.67
    ews
    -0.66
    POSITIVE LOGITS
     cyclists
    1.07
     cyclist
    1.04
     erg
    0.79
    cling
    0.77
    puter
    0.76
     enthusi
    0.76
     bicycle
    0.75
     cycling
    0.75
     bicycl
    0.74
     err
    0.71
    Activations Density 0.006%

    No Known Activations