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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. 6-RES-JB
    11. 17648
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    Explanations

    mentions of dedicating time or effort towards a specific topic or activity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "devote" or its variations, indicating a focus on commitment and dedication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     deceased
    -0.71
    ileaks
    -0.66
     Solomon
    -0.65
    ider
    -0.62
     Jacob
    -0.59
     scramble
    -0.59
     Replay
    -0.58
     dead
    -0.58
     Sioux
    -0.58
     resistant
    -0.57
    POSITIVE LOGITS
    itures
    1.07
    secut
    0.96
    entious
    0.91
    ments
    0.88
    ciating
    0.85
     attention
    0.84
    irth
    0.83
    herent
    0.80
    stant
    0.78
    leted
    0.78
    Activations Density 0.037%

    No Known Activations