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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. 12060
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    Explanations

    references to the activity of cycling

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cycling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    nesses
    -0.77
    urities
    -0.76
    ariat
    -0.76
    arial
    -0.73
     Bezos
    -0.72
    IELD
    -0.69
     pronounced
    -0.66
    ews
    -0.66
    pron
    -0.65
     Saban
    -0.62
    POSITIVE LOGITS
     cycling
    0.96
    cling
    0.89
     cyclist
    0.82
     cyclists
    0.78
     erg
    0.77
    puter
    0.75
     bicycle
    0.74
    wake
    0.72
    bike
    0.72
     livest
    0.72
    Activations Density 0.011%

    No Known Activations