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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. 22423
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    Explanations

    groups related to specific causes or movements

    oai_token-act-pair · gpt-3.5-turbo

    references to organized groups or associations, particularly those with specific agendas or causes

    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
    ा
    -0.71
    cffffcc
    -0.70
    èª
    -0.69
    à¥
    -0.67
    wards
    -0.67
    Delivery
    -0.67
    Tro
    -0.65
    æĹ
    -0.64
    jured
    -0.63
     Hus
    -0.62
    POSITIVE LOGITS
     groups
    1.07
    groups
    0.95
    roups
    0.94
    arettes
    0.92
    etter
    0.90
    wana
    0.90
    imore
    0.88
    ongs
    0.88
    achu
    0.84
    anguage
    0.84
    Activations Density 0.035%

    No Known Activations