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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. 14037
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    Explanations

    proper nouns, specifically names of companies, organizations, and places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, including names of places, organizations, and notable entities

    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
     aisle
    -0.73
     trademark
    -0.73
     carrier
    -0.69
     stalk
    -0.66
     pedal
    -0.66
     cuff
    -0.65
     recess
    -0.65
     interior
    -0.63
     minority
    -0.61
     trademarks
    -0.61
    POSITIVE LOGITS
    opolis
    0.75
    orama
    0.74
    Keys
    0.74
    izont
    0.74
    acia
    0.74
    ridor
    0.73
    nergy
    0.73
    wat
    0.71
    ild
    0.71
    ERA
    0.71
    Activations Density 0.251%

    No Known Activations