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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. 9-RES-JB
    11. 5703
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    Explanations

    names or terms related to individuals or criminal activities, particularly with the suffix "-ell"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Kell" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dayName
    -0.68
    ItemTracker
    -0.67
     exha
    -0.62
    FTWARE
    -0.61
    CRIP
    -0.60
     quo
    -0.59
    displayText
    -0.56
     cling
    -0.55
     arous
    -0.55
     privile
    -0.54
    POSITIVE LOGITS
    owship
    1.51
    iott
    1.15
    uminati
    1.14
    ows
    1.05
    inger
    1.02
    wagen
    1.01
    agic
    1.00
     Beckham
    0.99
    ritch
    0.94
    izabeth
    0.94
    Activations Density 0.056%

    No Known Activations