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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. 11-RES-JB
    11. 2153
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    Explanations

    various types of items or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of items or goods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     captcha
    -0.72
     Examination
    -0.67
    CVE
    -0.59
    DF
    -0.58
     Peninsula
    -0.58
    externalActionCode
    -0.56
     LCS
    -0.56
    Attempt
    -0.55
    vette
    -0.54
     evict
    -0.54
    POSITIVE LOGITS
    bags
    1.12
    y
    1.00
     happening
    0.97
    ies
    0.92
    bag
    0.91
     happens
    0.91
    hots
    0.89
    boxes
    0.89
    iness
    0.87
    smanship
    0.87
    Activations Density 0.043%

    No Known Activations