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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. 6104
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    INDEX
    Explanations

    locations within a town or city

    oai_token-act-pair · gpt-3.5-turbo

    locations or types of places

    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
    thood
    -0.84
    Ô
    -0.80
    olitics
    -0.78
    ussia
    -0.77
    ravings
    -0.73
    xit
    -0.72
    20439
    -0.71
    uggest
    -0.71
    laus
    -0.70
    aphael
    -0.68
    POSITIVE LOGITS
     floor
    1.29
     walls
    1.27
     perimeter
    1.19
     courtyard
    1.17
     gates
    1.14
     plaza
    1.11
     grounds
    1.10
     canopy
    1.09
     premises
    1.07
     periphery
    1.04
    Activations Density 0.359%

    No Known Activations