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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. 9-RES-JB
    11. 18575
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    Explanations

    words related to worries or anxieties

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing concern or worry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    avorite
    -0.78
    iller
    -0.75
    oba
    -0.71
    avour
    -0.66
    OVA
    -0.66
    ingers
    -0.62
    alter
    -0.59
     Bom
    -0.59
    egal
    -0.59
    aro
    -0.59
    POSITIVE LOGITS
    ingly
    0.99
     about
    0.96
    lessly
    0.91
     lest
    0.84
     trolling
    0.84
     ABOUT
    0.80
    wart
    0.78
    edly
    0.78
     bells
    0.77
    ativity
    0.75
    Activations Density 0.046%

    No Known Activations