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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. 3578
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    Explanations

    terms related to sports divisions or groups

    oai_token-act-pair · gpt-3.5-turbo

    references to sports divisions

    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
    terson
    -0.66
    milo
    -0.66
     Bulg
    -0.64
    jamin
    -0.63
    Ven
    -0.61
    isks
    -0.61
    aimon
    -0.61
    plays
    -0.61
     Consumers
    -0.60
    figure
    -0.59
    POSITIVE LOGITS
    naire
    1.02
    al
    1.00
     divisions
    0.99
    ally
    0.98
     division
    0.96
    alities
    0.91
    ality
    0.86
    ISION
    0.79
    alist
    0.78
    ary
    0.76
    Activations Density 0.018%

    No Known Activations