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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. 12-RES-JB
    11. 4997
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    INDEX
    Explanations

    cities, regions, and areas

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    geographic regions and locations within a context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Lear
    -0.62
    Desk
    -0.61
    argon
    -0.58
    Mini
    -0.58
    --+
    -0.58
     Telesc
    -0.58
    dig
    -0.57
    Adapt
    -0.56
    CLASSIFIED
    -0.56
     Gest
    -0.55
    POSITIVE LOGITS
     bordering
    1.25
     northeast
    1.15
     northwest
    1.12
     southeast
    1.06
     east
    1.06
     southwest
    1.03
     north
    1.01
     south
    0.99
     west
    0.98
     suburbs
    0.97
    Activations Density 0.209%

    No Known Activations