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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. 6-RES-JB
    11. 17562
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    Explanations

    proper nouns related to people or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of specific names and terms associated with people and attention-catching subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    s
    -1.04
    sen
    -0.96
    doms
    -0.95
    son
    -0.94
    itives
    -0.93
    shed
    -0.91
    intosh
    -0.91
    drivers
    -0.90
    ingham
    -0.90
    ership
    -0.88
    POSITIVE LOGITS
     earthquake
    0.73
    astern
    0.70
    uate
    0.62
    chnology
    0.60
    uated
    0.60
     horn
    0.59
     Siren
    0.59
    UNCH
    0.58
     buckle
    0.57
     flames
    0.57
    Activations Density 0.059%

    No Known Activations