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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. 0-RES-JB
    6. 16239
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    Explanations

    mentions or descriptions of tents

    oai_token-act-pair · gpt-3.5-turbo

    references to tents or similar structures

    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
    hire
    -0.69
    onso
    -0.69
    history
    -0.64
    iano
    -0.64
    ills
    -0.63
    javascript
    -0.63
     Wayne
    -0.63
    andro
    -0.62
    users
    -0.62
     Schro
    -0.62
    POSITIVE LOGITS
     tent
    4.01
     tents
    2.70
     Tent
    2.59
     encamp
    1.57
     tentacles
    1.46
     camp
    1.41
     camps
    1.30
     hut
    1.26
     camping
    1.17
     RV
    1.04
    Activations Density 0.016%

    No Known Activations