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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. 13661
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    Explanations

    statements related to business or corporate affairs

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to affirmation and approvals in a corporate context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    itus
    -0.58
    owan
    -0.57
    ilar
    -0.57
    erness
    -0.57
    _.
    -0.57
    yden
    -0.56
    req
    -0.55
     Frie
    -0.54
    mentioned
    -0.54
    attering
    -0.54
    POSITIVE LOGITS
     subsidiaries
    0.78
     bankruptcy
    0.74
     subsidiary
    0.71
     recruiting
    0.69
     IPO
    0.68
     Investors
    0.67
     revenues
    0.66
     reserves
    0.65
     profits
    0.64
     hiring
    0.64
    Activations Density 0.887%

    No Known Activations