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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. 1-RES-JB
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    INDEX
    Explanations

    mentions of the phrase "old-school"

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions, particularly schools

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     synd
    -0.73
     dry
    -0.72
     Bots
    -0.69
     heel
    -0.66
     hem
    -0.64
     Cheong
    -0.64
     patient
    -0.64
     depress
    -0.64
    nea
    -0.63
     vain
    -0.62
    POSITIVE LOGITS
    School
    1.16
    school
    1.15
    kids
    1.05
    masters
    0.99
    ership
    0.88
    sylvania
    0.87
    chool
    0.87
    haus
    0.87
    children
    0.86
    s
    0.84
    Activations Density 0.012%

    No Known Activations