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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. 9-RES-JB
    11. 5806
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    Explanations

    phrases or sentences ending with a colon followed by a high activation word or phrase

    oai_token-act-pair · gpt-3.5-turbo

    colloquial expressions or emoticons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifying
    -0.82
    ersive
    -0.79
    utive
    -0.76
     conversions
    -0.72
    esville
    -0.71
    idad
    -0.70
    ified
    -0.70
    itive
    -0.67
    regor
    -0.67
    ifax
    -0.66
    POSITIVE LOGITS
    ::::::::
    1.56
    ::::
    1.37
    ;;;;;;;;;;;;
    0.94
    -(
    0.94
    ;;;;;;;;
    0.90
    ,,,,
    0.83
    ,,,,,,,,
    0.77
    ;;;;
    0.71
    -|
    0.70
    mol
    0.68
    Activations Density 0.041%

    No Known Activations