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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. 4-RES-JB
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    INDEX
    Explanations

    mentions or influences of the word "pant" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to pantheons, particularly in the context of mythology or collections of gods

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

    No Comments

    Negative Logits
     Carbuncle
    -0.78
    UTION
    -0.77
    REDACTED
    -0.72
     Jav
    -0.72
    ITED
    -0.72
     Sett
    -0.70
    displayText
    -0.70
    é¾
    -0.69
    KNOWN
    -0.69
    FORMATION
    -0.69
    POSITIVE LOGITS
    heon
    1.50
     pant
    1.15
    agraph
    1.01
    icip
    1.00
    ry
    0.93
    hetically
    0.93
    neum
    0.88
    yrus
    0.86
    ypes
    0.85
    oleon
    0.84
    Activations Density 0.008%

    No Known Activations