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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. 7-RES-JB
    11. 21090
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    prominent names and locations associated with various events and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uador
    -0.62
     âĢº
    -0.59
     <<
    -0.58
    hematically
    -0.56
    rious
    -0.53
    orse
    -0.52
    Pokemon
    -0.52
    ãĥ£
    -0.50
     php
    -0.50
    bitcoin
    -0.49
    POSITIVE LOGITS
     himself
    0.76
     herself
    0.68
     itself
    0.64
     fame
    0.63
     Sr
    0.60
    ledged
    0.57
     confid
    0.55
     Leilan
    0.54
     respectively
    0.53
     headquarters
    0.52
    Activations Density 0.814%

    No Known Activations