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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. 6-RES-JB
    11. 1651
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    INDEX
    Explanations

    names of corporate groups or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to business organizations or corporate entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DIT
    -0.79
    DAY
    -0.75
    itability
    -0.73
    cale
    -0.73
    quickShipAvailable
    -0.72
    ensional
    -0.69
    ANCE
    -0.68
    issance
    -0.66
    nces
    -0.66
    ANC
    -0.65
    POSITIVE LOGITS
    roups
    0.88
     Holding
    0.83
    arettes
    0.80
     Holdings
    0.75
     Group
    0.74
     LLC
    0.73
     Publishers
    0.72
    oths
    0.72
    orp
    0.71
     Newsp
    0.71
    Activations Density 0.025%

    No Known Activations