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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. 4202
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    Explanations

    mentions of academic or professional titles, specifically "associate professor."

    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
    imon
    -0.80
    cale
    -0.77
    ODUCT
    -0.74
    plays
    -0.72
    CRIP
    -0.72
    aneers
    -0.72
    acing
    -0.72
    akens
    -0.72
    =-=-=-=-=-=-=-=-
    -0.71
    itans
    -0.71
    POSITIVE LOGITS
     dean
    1.00
     professor
    0.87
     newsp
    0.83
    lies
    0.80
    lly
    0.79
    rete
    0.72
    ially
    0.69
    rium
    0.68
    ously
    0.68
     colonel
    0.67
    Activations Density 0.038%

    No Known Activations