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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. 2-RES-JB
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    quantities related to large numbers

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imen
    -0.81
    FIN
    -0.73
    strength
    -0.71
    date
    -0.71
    dated
    -0.69
    sonian
    -0.68
    emia
    -0.66
    isner
    -0.66
    prem
    -0.65
    nam
    -0.65
    POSITIVE LOGITS
    iles
    0.84
     kHz
    0.84
     volts
    0.82
    aires
    0.81
     pounds
    0.80
     watts
    0.80
     dollars
    0.79
    ths
    0.79
     lbs
    0.78
    aire
    0.78
    Activations Density 0.086%

    No Known Activations