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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. 0-RES-JB
    11. 12468
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    Explanations

    phrases relating to a situation that is about to happen or development towards a specific point

    oai_token-act-pair · gpt-3.5-turbo

    the character or symbol 'Ŀ'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mandate
    -0.69
     email
    -0.63
     assignment
    -0.62
     lay
    -0.62
    less
    -0.61
     Carrier
    -0.61
     iPod
    -0.59
     Proud
    -0.58
     selfie
    -0.58
     memo
    -0.57
    POSITIVE LOGITS
    Ŀ
    4.43
    ľ
    1.90
    Ł
    1.87
    ļ
    1.77
    ¡
    1.75
    ©
    1.73
    ĺ
    1.71
    ª
    1.70
    Ĺ
    1.67
    ¤
    1.63
    Activations Density 0.280%

    No Known Activations