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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. 7-RES-JB
    11. 7279
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    Explanations

    references to the NFL player "Aaron Rodgers"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uate
    -0.90
    uates
    -0.86
    anooga
    -0.80
    anasia
    -0.73
    ilight
    -0.73
     Psychiatric
    -0.70
     Liberties
    -0.69
    omore
    -0.67
    inel
    -0.67
    uated
    -0.65
    POSITIVE LOGITS
    ullivan
    0.81
    etta
    0.77
    kj
    0.74
     Rodgers
    0.73
    helle
    0.72
    gaard
    0.70
    olkien
    0.70
    cliffe
    0.70
    feld
    0.69
     Andersen
    0.68
    Activations Density 0.069%

    No Known Activations