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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. 8-RES-JB
    11. 2352
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    Explanations

    financial terms and company names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or entities, particularly in a formal or reporting context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.75
    swick
    -0.73
    abad
    -0.73
     nomine
    -0.72
    enhagen
    -0.71
    ught
    -0.71
    ebus
    -0.70
    iesta
    -0.69
    antry
    -0.68
    inki
    -0.68
    POSITIVE LOGITS
    ©¶æ
    0.86
    rosso
    0.76
     Vaugh
    0.69
    å§
    0.68
    rays
    0.67
     Constantin
    0.64
    Martin
    0.64
     Reincarn
    0.64
    çİĭ
    0.62
     Bernstein
    0.61
    Activations Density 0.426%

    No Known Activations