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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. 9134
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    Explanations

    mentions of motorsports and racing terms, especially related to Formula racing categories

    oai_token-act-pair · gpt-3.5-turbo
    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
    gat
    -0.85
    ibrary
    -0.80
    iannopoulos
    -0.77
    aspberry
    -0.74
    oldemort
    -0.72
    rir
    -0.71
    bek
    -0.71
     Soup
    -0.69
     Lank
    -0.69
    Washington
    -0.69
    POSITIVE LOGITS
     racing
    1.33
     racer
    1.30
     tyre
    1.19
     Racing
    1.18
     FIA
    1.10
     cars
    1.08
     Motorsport
    1.05
     Renault
    1.02
     motors
    1.01
     Drivers
    1.01
    Activations Density 0.158%

    No Known Activations