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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. 9-RES-JB
    11. 5399
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    Explanations

    phrases or words related to various locations or cities, particularly those with the term "Var" in them

    oai_token-act-pair · gpt-3.5-turbo

    references to the character "Varian" or variations of that name in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOS
    -0.77
    naires
    -0.70
     Graduate
    -0.68
     Crus
    -0.65
     Doodle
    -0.62
    ĨĴ
    -0.60
    stakes
    -0.59
    FactoryReloaded
    -0.59
    ãĢ
    -0.58
    xual
    -0.58
    POSITIVE LOGITS
    iety
    1.23
    ieties
    1.23
    ietal
    1.19
    ieg
    1.09
    iola
    1.06
    args
    0.97
    anas
    0.93
    isher
    0.93
    ious
    0.93
    iances
    0.92
    Activations Density 0.039%

    No Known Activations