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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. 1-RES-JB
    11. 3828
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to processes of change or transformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Frames
    -0.80
    ruciating
    -0.74
    pees
    -0.74
     elig
    -0.73
     Vive
    -0.72
     Croat
    -0.71
    ritis
    -0.71
    thood
    -0.70
    estinal
    -0.69
    doms
    -0.68
    POSITIVE LOGITS
     curve
    0.69
    swers
    0.63
     Shutterstock
    0.63
    alter
    0.62
    spin
    0.62
     reim
    0.62
     contag
    0.60
     brink
    0.60
     gradient
    0.60
     spelling
    0.58
    Activations Density 0.000%

    No Known Activations