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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. 3-RES-JB
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    Explanations

    references to academic positions, particularly "professor."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of academic titles, specifically "professor" and "lecturer."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    axy
    -0.74
    adies
    -0.68
     sled
    -0.66
    ankind
    -0.62
    ntax
    -0.62
     annexed
    -0.62
     cockpit
    -0.61
    apo
    -0.61
     freezing
    -0.60
     Devils
    -0.60
    POSITIVE LOGITS
    essors
    1.08
    essor
    0.97
     emer
    0.94
    ially
    0.90
    hesis
    0.89
    ials
    0.89
    itatively
    0.87
    icist
    0.86
     professor
    0.86
    iate
    0.86
    Activations Density 0.022%

    No Known Activations