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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. 2222
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    unfortunate situations or events

    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
    rouse
    -0.88
    arnaev
    -0.68
    afort
    -0.68
    igate
    -0.67
    row
    -0.66
    iveness
    -0.65
    ivating
    -0.64
    aver
    -0.63
    arching
    -0.63
    icipated
    -0.63
    POSITIVE LOGITS
    terday
    0.78
     alas
    0.78
     enough
    0.75
    nown
    0.74
     misunderstand
    0.72
     sadly
    0.72
     unfortunately
    0.70
    ,...
    0.68
     untrue
    0.66
     mistaken
    0.66
    Activations Density 0.031%

    No Known Activations