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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
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    text related to picnics and outdoor activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to events and activities, particularly picnics and desperation

    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
    ernaut
    -0.91
    ility
    -0.87
    rael
    -0.85
    lock
    -0.82
    les
    -0.78
    smith
    -0.78
    OTA
    -0.77
    itar
    -0.76
    alon
    -0.76
    Berry
    -0.75
    POSITIVE LOGITS
    olicy
    0.85
    lihood
    0.80
    vier
    0.77
    tenance
    0.75
     PLA
    0.73
     PRESS
    0.71
     Mutual
    0.69
    igslist
    0.66
    arenthood
    0.65
     Nare
    0.62
    Activations Density 0.032%

    No Known Activations