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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. 2-RES-JB
    11. 15904
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    Explanations

    words related to specific names, especially names like Olivier, Laurent, and Suzanne

    oai_token-act-pair · gpt-3.5-turbo

    mentions of organizations and individuals related to economic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wall
    -0.88
    butt
    -0.88
    ball
    -0.86
    balls
    -0.83
    cloth
    -0.83
    pole
    -0.82
    rough
    -0.82
    washing
    -0.81
    visor
    -0.81
    wid
    -0.81
    POSITIVE LOGITS
    oaded
    0.92
     simultane
    0.90
     reluct
    0.90
     Laurent
    0.85
     Leban
    0.81
     constitu
    0.81
     guiActiveUn
    0.80
     tremend
    0.77
     Thumbnails
    0.76
    éĹĺ
    0.76
    Activations Density 0.019%

    No Known Activations