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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. 13460
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    INDEX
    Explanations

    mentions of high school-related keywords

    oai_token-act-pair · gpt-3.5-turbo

    references to high school

    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
    ĸļ
    -0.72
     tame
    -0.66
    thy
    -0.64
    ioxide
    -0.63
    peace
    -0.63
     genus
    -0.62
     livest
    -0.62
    âķIJ
    -0.61
    Downloadha
    -0.61
    aws
    -0.60
    POSITIVE LOGITS
     graduation
    1.02
     graduates
    0.99
     diploma
    0.99
    boy
    0.96
    boys
    0.96
    uates
    0.89
    kids
    0.87
    ers
    0.82
     Boys
    0.81
     students
    0.80
    Activations Density 0.032%

    No Known Activations