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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. 2-RES-JB
    11. 14764
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    Explanations

    references to educational institutions or related terminology

    oai_token-act-pair · gpt-3.5-turbo

    mentions of academic institutions or academies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olls
    -0.71
    evil
    -0.67
     Bundy
    -0.66
     Evil
    -0.65
     Gale
    -0.63
    ests
    -0.63
    âĢ³
    -0.63
     precipitation
    -0.61
    ï¸ı
    -0.60
     Panic
    -0.60
    POSITIVE LOGITS
     academy
    1.18
     acad
    0.99
    emies
    0.85
     corps
    0.83
     recomm
    0.74
    æ©
    0.73
     este
    0.71
    GGGGGGGG
    0.69
     keeper
    0.68
    ctor
    0.68
    Activations Density 0.009%

    No Known Activations