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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. 10-RES-JB
    11. 8429
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    Explanations

    mentions or descriptions of different types of facilities or locations like clinics, polling stations, and monitoring stations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilogy
    -0.70
     serum
    -0.69
    ulus
    -0.66
    maxwell
    -0.66
    sen
    -0.65
    otos
    -0.63
    cffffcc
    -0.60
    gey
    -0.60
     feathers
    -0.60
    shield
    -0.58
    POSITIVE LOGITS
     located
    1.17
     staffed
    1.16
     operated
    1.12
    hips
    1.11
     situated
    1.09
     frequ
    1.06
    hare
    1.06
     erected
    1.04
     dotted
    1.04
     locations
    1.03
    Activations Density 0.321%

    No Known Activations