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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. 7-RES-JB
    11. 1512
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    Explanations

    mentions of colleges and universities in sentences containing other related entities or terms

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts, particularly related to educational institutions and communities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lite
    -0.76
     spoiler
    -0.71
    hunt
    -0.68
    Spoiler
    -0.68
    uca
    -0.64
    itta
    -0.63
    ĸļ
    -0.61
    redo
    -0.61
    KEN
    -0.61
    agle
    -0.60
    POSITIVE LOGITS
     workplaces
    1.12
     institutions
    1.09
     municipalities
    1.05
     organisations
    1.05
     territories
    1.01
     legislatures
    1.01
     counties
    1.00
     cities
    0.99
     universities
    0.98
     organizations
    0.96
    Activations Density 0.369%

    No Known Activations