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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. 13866
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    Explanations

    words related to historical artifacts or relics

    oai_token-act-pair · gpt-3.5-turbo

    references to artifacts and historical items

    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
    yip
    -0.73
    tan
    -0.71
    comed
    -0.70
    lam
    -0.67
    adan
    -0.67
    osuke
    -0.66
    lee
    -0.65
    shock
    -0.65
    nir
    -0.64
    ulf
    -0.63
    POSITIVE LOGITS
    abilia
    1.26
     treasures
    1.16
    ifacts
    1.05
     museums
    1.02
     collections
    1.01
     arte
    1.00
    collection
    0.99
     relics
    0.97
     preservation
    0.96
     museum
    0.96
    Activations Density 0.134%

    No Known Activations