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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. 24401
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    INDEX
    Explanations

    mentions of the word "demon" and variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "mon" as part of different terms or contexts

    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
     Norn
    -0.73
    Sov
    -0.72
    OHN
    -0.72
    NRS
    -0.71
    ULTS
    -0.69
    ACTED
    -0.65
    ENG
    -0.65
    EMP
    -0.64
     SAP
    -0.63
     Paste
    -0.61
    POSITIVE LOGITS
    itored
    1.31
    strous
    1.14
    etary
    1.07
    uclear
    1.04
    ial
    1.03
    stros
    0.99
    ials
    0.95
    ograph
    0.94
    astery
    0.94
    ument
    0.91
    Activations Density 0.020%

    No Known Activations