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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. 6-RES-JB
    11. 4103
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    Explanations

    mentions of objects made of cast-iron

    oai_token-act-pair · gpt-3.5-turbo

    references to voting and ballot casting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibling
    -0.69
    ItemTracker
    -0.69
    ONSORED
    -0.66
     hugs
    -0.62
    issance
    -0.60
    catentry
    -0.60
    kefeller
    -0.60
    sung
    -0.60
    ĨĴ
    -0.59
     sweets
    -0.59
    POSITIVE LOGITS
    iron
    0.81
    arte
    0.69
    aird
    0.61
    arter
    0.61
    sole
    0.61
    iris
    0.59
    lor
    0.58
    ration
    0.58
     Legions
    0.58
    âĦ¢:
    0.57
    Activations Density 0.148%

    No Known Activations