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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. 20007
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    Explanations

    proper nouns related to people, places, and events

    oai_token-act-pair · gpt-3.5-turbo

    names and references to well-known people, events, or locations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    anches
    -0.84
     Cosponsors
    -0.74
    asts
    -0.74
    dies
    -0.72
    izons
    -0.72
    usters
    -0.71
    oths
    -0.71
    objects
    -0.70
    Images
    -0.70
    rils
    -0.69
    POSITIVE LOGITS
    peak
    1.07
     understatement
    0.87
    speak
    0.87
     nutshell
    0.87
    actly
    0.83
     equivalent
    0.80
     hypocrisy
    0.80
     jargon
    0.80
     territory
    0.77
     pecul
    0.74
    Activations Density 0.490%

    No Known Activations