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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. 20194
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    Explanations

    instances of personal prompting or questioning

    oai_token-act-pair · gpt-3.5-turbo

    interrogative and conversational phrases directed at the reader

    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
    çīĪ
    -0.67
    Austral
    -0.63
    »Ĵ
    -0.61
     Net
    -0.60
     Pathfinder
    -0.60
    Marginal
    -0.59
    gypt
    -0.58
    Magikarp
    -0.58
     Austral
    -0.57
     Mirage
    -0.57
    POSITIVE LOGITS
    iety
    0.80
     anymore
    0.79
    yet
    0.79
    vable
    0.75
    hett
    0.71
    existent
    0.70
    iable
    0.69
    bered
    0.69
    âĻ
    0.68
    bley
    0.67
    Activations Density 0.161%

    No Known Activations