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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 24559
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    Explanations

    questions with 'what' as the first word

    oai_token-act-pair · gpt-3.5-turbo

    questions that seek clarification or further information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aku
    -0.78
    ishable
    -0.76
     coil
    -0.71
     padded
    -0.69
    rek
    -0.69
    onde
    -0.68
    aper
    -0.68
     binge
    -0.66
    kee
    -0.65
     worm
    -0.65
    POSITIVE LOGITS
     Well
    1.02
     Surely
    0.99
     Probably
    0.97
     Nope
    0.96
    ?:
    0.95
    .?
    0.93
    ����
    0.90
     Why
    0.90
     Turns
    0.89
     Perhaps
    0.87
    Activations Density 0.100%

    No Known Activations