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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. 13599
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    Explanations

    phrases introducing a new idea or concept

    oai_token-act-pair · gpt-3.5-turbo

    statements asserting facts or observations

    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
    ickets
    -0.75
    istors
    -0.71
    unk
    -0.71
    amia
    -0.70
    adle
    -0.68
    oller
    -0.68
    utical
    -0.68
    icons
    -0.67
    leen
    -0.66
    rums
    -0.66
    POSITIVE LOGITS
     discrepancy
    1.00
     contrasts
    0.99
     phenomenon
    0.97
     article
    0.93
     latter
    0.91
     culminated
    0.88
     trope
    0.88
     arrangement
    0.87
     slideshow
    0.86
     particular
    0.85
    Activations Density 0.173%

    No Known Activations