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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. 3-RES-JB
    11. 1295
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    Explanations

    mentions of the word "rad" at varying strengths

    oai_token-act-pair · gpt-3.5-turbo

    references to radiation-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urses
    -0.77
    bern
    -0.72
    okane
    -0.66
     Fey
    -0.66
    upiter
    -0.65
    uckland
    -0.64
    hazard
    -0.62
     pity
    -0.62
    avascript
    -0.61
    ãĥīãĥ©
    -0.61
    POSITIVE LOGITS
    rad
    1.01
    iation
    0.99
    icator
    0.96
    iance
    0.91
    ication
    0.91
    iated
    0.90
    iol
    0.90
    itional
    0.87
    irect
    0.86
    ynamic
    0.83
    Activations Density 0.007%

    No Known Activations