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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. 0-RES-JB
    11. 14693
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    Explanations

    words related to marking or indicating something important

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mark" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     furnished
    -0.66
     cruc
    -0.66
     gy
    -0.66
     saline
    -0.61
     disag
    -0.61
     Alc
    -0.60
     anal
    -0.60
     Gy
    -0.58
     unres
    -0.58
     exc
    -0.57
    POSITIVE LOGITS
    mark
    4.62
    marks
    3.77
    marked
    2.81
     mark
    2.00
    Mark
    1.85
    emark
    1.64
     marks
    1.48
     Marks
    1.41
     Mark
    1.35
     MARK
    1.32
    Activations Density 0.009%

    No Known Activations