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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. 3-RES-JB
    11. 8251
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    Explanations

    references to actions or events happening on a physical stage

    oai_token-act-pair · gpt-3.5-turbo

    references to performances or events occurring on a stage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.86
    umar
    -0.70
    rontal
    -0.68
    alez
    -0.66
    uyomi
    -0.66
    anguages
    -0.65
     metab
    -0.65
    usterity
    -0.63
     unequ
    -0.63
    vernment
    -0.63
    POSITIVE LOGITS
    craft
    0.91
    room
    0.89
    Stage
    0.86
    rooms
    0.85
     stage
    0.84
    stage
    0.82
    house
    0.81
    yard
    0.81
     Sabha
    0.74
    goers
    0.73
    Activations Density 0.015%

    No Known Activations