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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. 7-RES-JB
    11. 19202
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    Explanations

    events or actions that have come to a close or conclusion

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conclusion or termination events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atts
    -0.66
    ibilities
    -0.65
    Factor
    -0.65
    ppa
    -0.64
    esome
    -0.64
    mens
    -0.62
    ager
    -0.62
     squared
    -0.61
    aks
    -0.60
    olded
    -0.60
    POSITIVE LOGITS
     abruptly
    0.99
     prematurely
    0.95
     tragically
    0.88
    angering
    0.87
     peacefully
    0.85
    owment
    0.82
     Bye
    0.74
    ocrin
    0.74
    orses
    0.72
     Dresden
    0.70
    Activations Density 0.062%

    No Known Activations