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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. 8-RES-JB
    6. 6633
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    Explanations

    questions asking for reasons or explanations

    oai_token-act-pair · gpt-3.5-turbo

    questions and phrases involving uncertainty or conditional scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ://
    -0.60
    geon
    -0.58
    SourceFile
    -0.57
     sidelines
    -0.56
    stroke
    -0.56
    notations
    -0.55
     veterans
    -0.53
    fax
    -0.53
     prints
    -0.53
    PORT
    -0.53
    POSITIVE LOGITS
     uh
    0.77
     yes
    0.75
     anyway
    0.74
     somew
    0.72
     WHY
    0.70
     exactly
    0.69
    ?)
    0.67
     pray
    0.66
    ileged
    0.66
    oulos
    0.66
    Activations Density 0.107%

    No Known Activations