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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. 6226
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    Explanations

    phrases indicating severe, urgent, or extreme situations

    oai_token-act-pair · gpt-3.5-turbo

    the term "dire" to indicate severe situations or warnings

    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
    obbies
    -0.82
    adesh
    -0.80
    ACP
    -0.73
    adding
    -0.70
    ipop
    -0.69
    onew
    -0.68
    nesota
    -0.67
    ramid
    -0.67
    ablishment
    -0.67
    ovember
    -0.67
    POSITIVE LOGITS
     dire
    0.92
    gency
    0.84
    ly
    0.80
    wolf
    0.80
    ãĥ¼ãĥĨ
    0.77
    wolves
    0.77
    cci
    0.76
     earthqu
    0.75
     consequences
    0.73
    bly
    0.73
    Activations Density 0.007%

    No Known Activations