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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. 7039
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    Explanations

    words related to physical actions or commands

    oai_token-act-pair · gpt-3.5-turbo

    words related to assistance or aid

    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
    âĢ¢âĢ¢
    -0.66
    chid
    -0.61
    seconds
    -0.61
     corners
    -0.61
    thur
    -0.61
     awake
    -0.57
     unchecked
    -0.57
     reckoning
    -0.57
     levers
    -0.56
    Bott
    -0.56
    POSITIVE LOGITS
    enza
    0.91
    achment
    0.84
    ibo
    0.80
    ance
    0.79
    alion
    0.78
    oration
    0.75
    EMENT
    0.74
    eering
    0.73
    phasis
    0.73
    ILA
    0.70
    Activations Density 0.125%

    No Known Activations