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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. 10160
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    Explanations

    phrases related to specific names or titles, particularly those associated with individuals

    oai_token-act-pair · gpt-3.5-turbo

    names or terms associated with a specific group or category, likely related to sports or well-known personalities

    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
     CBI
    -0.67
     Firm
    -0.60
     [*]
    -0.58
    Balt
    -0.57
     lodging
    -0.57
    Reviewed
    -0.55
    ECTION
    -0.55
     Crescent
    -0.55
     Notting
    -0.54
     satellite
    -0.54
    POSITIVE LOGITS
    emonic
    0.92
    intosh
    0.90
    arella
    0.88
    waukee
    0.88
    gage
    0.87
    nih
    0.86
    udi
    0.86
    ashtra
    0.83
    nesota
    0.82
    uchin
    0.81
    Activations Density 0.139%

    No Known Activations