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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. 8375
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    Explanations

    names of people or entities, especially ending in "-er" or "-mer" and relating to research or politics

    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
    erest
    -0.63
    ĵĺ
    -0.62
    ured
    -0.57
     edible
    -0.57
     Gujar
    -0.56
    entry
    -0.56
     rigid
    -0.55
    encers
    -0.55
     transparent
    -0.54
     timers
    -0.53
    POSITIVE LOGITS
    lein
    1.27
    geist
    1.23
    bilt
    1.22
    stein
    1.19
    jee
    1.17
    idge
    1.12
    hoff
    1.08
    wald
    1.06
    bach
    1.05
    lich
    1.04
    Activations Density 0.171%

    No Known Activations