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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. 17741
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    Explanations

    terms related to formal procedures or processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to concepts of mortality and fatality

    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
    Ļ½
    -0.77
    ERC
    -0.76
    kers
    -0.75
    kef
    -0.75
    ergy
    -0.74
    advertisement
    -0.69
    char
    -0.68
    fman
    -0.68
    vier
    -0.68
    href
    -0.67
    POSITIVE LOGITS
    istically
    0.84
    ality
    0.71
    uality
    0.68
    ignment
    0.68
    hound
    0.67
    fulness
    0.66
    arily
    0.66
     Cloak
    0.66
    anship
    0.65
    aries
    0.65
    Activations Density 0.017%

    No Known Activations