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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. 4-RES-JB
    11. 6069
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    Explanations

    mentions of manufacturers and their related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to manufacturers or companies involved in production

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

    No Comments

    Negative Logits
    mire
    -0.75
     Warden
    -0.73
    ceed
    -0.66
    jiang
    -0.65
    ormal
    -0.65
    utherford
    -0.65
    tein
    -0.64
     Brennan
    -0.64
     Brow
    -0.63
     Bagg
    -0.63
    POSITIVE LOGITS
     manufactures
    0.83
     nomine
    0.82
    ãĤ´
    0.77
     manufacturer
    0.76
     manufacturers
    0.74
    ãĥł
    0.67
    Sony
    0.67
     warranties
    0.67
    ãĤ©
    0.66
    urally
    0.66
    Activations Density 0.020%

    No Known Activations