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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. 12407
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    Explanations

    time-related expressions or temporal relationships

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a minimum or a threshold

    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
    ÄŁ
    -0.80
    igr
    -0.76
    ament
    -0.72
    ursday
    -0.72
    ricks
    -0.70
    iard
    -0.70
     hurd
    -0.67
    pie
    -0.67
    uesday
    -0.67
     Grimes
    -0.66
    POSITIVE LOGITS
     Marketable
    0.92
     outright
    0.74
    Downloadha
    0.70
     equivalents
    0.70
    acular
    0.69
    ifice
    0.68
    acle
    0.66
     vice
    0.66
     pretended
    0.65
     equivalent
    0.65
    Activations Density 0.044%

    No Known Activations