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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. 12-RES-JB
    11. 4240
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    Explanations

    references to specific establishments or organizations like restaurants, churches, universities, and companies

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to institutions and organizations, particularly in educational, religious, and governmental contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ans
    -0.69
     Factor
    -0.63
     Applied
    -0.62
     Jury
    -0.59
     Isles
    -0.59
     Casino
    -0.59
     Tend
    -0.59
     Quart
    -0.59
     Paulo
    -0.58
     Merchant
    -0.57
    POSITIVE LOGITS
    wide
    1.04
    goers
    0.91
    lif
    0.91
     personnel
    0.83
     employees
    0.83
     staffers
    0.82
     manag
    0.81
     officials
    0.80
    members
    0.80
    work
    0.80
    Activations Density 0.219%

    No Known Activations