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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. 7958
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    Explanations

    references to different sports divisions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of different divisions, particularly in a sports or organizational 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
    milo
    -0.61
    terson
    -0.61
    telling
    -0.60
    packing
    -0.59
    chell
    -0.58
    plays
    -0.58
     Bulg
    -0.58
    natureconservancy
    -0.57
    isks
    -0.57
    uated
    -0.57
    POSITIVE LOGITS
    al
    1.12
    naire
    1.01
    ally
    0.92
    ality
    0.89
    alist
    0.87
    alities
    0.87
    ISION
    0.86
    alis
    0.79
     divisions
    0.77
    SHIP
    0.75
    Activations Density 0.028%

    No Known Activations