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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. 22655
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    Explanations

    names or terms related to specific individuals, particularly with the occurrence of "hr" possibly indicating "ehr" which might be part of names or titles

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific character sequences or formats within the text

    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
    eers
    -0.81
     Hots
    -0.75
    e
    -0.72
    cens
    -0.70
    eer
    -0.70
     Grizzlies
    -0.68
     reversible
    -0.68
    BALL
    -0.68
     Samoa
    -0.66
    yip
    -0.65
    POSITIVE LOGITS
    acht
    0.96
    lich
    0.90
    agan
    0.89
    azard
    0.89
    onds
    0.88
    anging
    0.87
    acking
    0.87
    ud
    0.86
    mann
    0.85
    uty
    0.84
    Activations Density 0.018%

    No Known Activations