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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. 3-RES-JB
    11. 4403
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    INDEX
    Explanations

    mentions of high school-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to high school events and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tame
    -0.72
    thy
    -0.65
     livest
    -0.64
     genus
    -0.62
    APH
    -0.59
    vernment
    -0.58
     mic
    -0.58
     leth
    -0.57
     live
    -0.57
    imentary
    -0.57
    POSITIVE LOGITS
     graduation
    1.05
    kids
    0.98
     diploma
    0.96
    boy
    0.92
    children
    0.91
    masters
    0.90
    boys
    0.89
    grounds
    0.85
    uates
    0.84
    girls
    0.82
    Activations Density 0.027%

    No Known Activations