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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. 10-RES-JB
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    Explanations

    information related to museums and art collections

    oai_token-act-pair · gpt-3.5-turbo

    information related to museums and their exhibitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.95
    EStreamFrame
    -0.89
    cfg
    -0.87
    VPN
    -0.85
    amacare
    -0.79
     whine
    -0.79
     thrott
    -0.76
    votes
    -0.76
    eto
    -0.75
     whining
    -0.74
    POSITIVE LOGITS
     museum
    2.07
     museums
    2.01
     Museum
    1.90
     exhibitions
    1.77
     curator
    1.76
     Smithsonian
    1.72
    useum
    1.66
     exhibition
    1.59
     Muse
    1.58
     galleries
    1.55
    Activations Density 0.555%

    No Known Activations