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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. 1838
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    Explanations

    proper nouns representing people mentioning information or making statements

    oai_token-act-pair · gpt-3.5-turbo

    instances of statements made by individuals

    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
    Appearances
    -0.63
    isable
    -0.62
    OTAL
    -0.61
    Frameworks
    -0.61
    illions
    -0.61
    ãĥİ
    -0.60
    Reply
    -0.59
    TABLE
    -0.59
    adies
    -0.58
    atible
    -0.57
    POSITIVE LOGITS
     sarcast
    0.90
     rhet
    0.76
     bluntly
    0.72
     anecd
    0.69
     diplom
    0.68
    .
    0.67
    olulu
    0.66
     emphatically
    0.65
     afterward
    0.64
     diagn
    0.64
    Activations Density 0.119%

    No Known Activations