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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
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    Explanations

    instances where someone meets or interacts with someone else or a group of people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "met" or its variations in the context of meetings and interactions

    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
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    Negative Logits
    uploads
    -0.63
    ĨĴ
    -0.62
    vant
    -0.61
     untreated
    -0.59
    ipedia
    -0.59
    peat
    -0.59
    hirt
    -0.59
     extinguished
    -0.58
     absorbing
    -0.57
     encyclopedia
    -0.57
    POSITIVE LOGITS
    rones
    0.82
    iannopoulos
    0.74
     Pradesh
    0.71
    ritic
    0.70
     Dull
    0.70
    OLOG
    0.70
    UES
    0.70
    abus
    0.68
    autions
    0.68
     rapport
    0.67
    Activations Density 0.168%

    No Known Activations