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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. 3-RES-JB
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    Explanations

    the word "Springfield" occurring with high activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the location Springfield

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aird
    -0.84
    Els
    -0.80
    graded
    -0.76
    anyahu
    -0.73
    ilingual
    -0.73
    bid
    -0.72
    itism
    -0.71
    istors
    -0.71
    paren
    -0.70
     pill
    -0.70
    POSITIVE LOGITS
     Springfield
    0.99
     Armory
    0.96
    shire
    0.95
     Simpson
    0.91
     Movie
    0.77
     Slug
    0.75
     Sut
    0.72
    gang
    0.72
     Characters
    0.72
     Town
    0.72
    Activations Density 0.015%

    No Known Activations