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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. 8370
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    Explanations

    phrases related to standing, sitting, watching, and waiting

    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
    catentry
    -0.87
     GOODMAN
    -0.75
    cial
    -0.75
    YR
    -0.69
    £ı
    -0.68
    %);
    -0.68
    qua
    -0.68
    çīĪ
    -0.67
    FER
    -0.66
    heny
    -0.64
    POSITIVE LOGITS
     passively
    1.21
     helpless
    1.15
     silently
    1.07
     waiting
    0.96
     patiently
    0.96
     oblivious
    0.91
     quietly
    0.89
     watching
    0.89
     smug
    0.86
     awaiting
    0.86
    Activations Density 0.106%

    No Known Activations