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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. 4449
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    Explanations

    percentage values

    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
    worldly
    -0.71
    ipples
    -0.70
    zie
    -0.63
     Rav
    -0.63
    ansom
    -0.62
    inous
    -0.62
    pload
    -0.62
    sever
    -0.62
    ocity
    -0.62
    icon
    -0.61
    POSITIVE LOGITS
     chance
    0.75
     reliant
    0.72
     positive
    0.69
    PsyNetMessage
    0.67
     confident
    0.67
     utilization
    0.66
     confidence
    0.66
     humidity
    0.66
     completion
    0.66
     turnout
    0.65
    Activations Density 0.061%

    No Known Activations