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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. 23625
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    Explanations

    words related to sudden or rapid events or changes

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with causes and consequences

    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
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    Negative Logits
    erness
    -0.73
     Wing
    -0.68
     Worldwide
    -0.68
     vigorously
    -0.65
     RSA
    -0.63
    Ĥ¬
    -0.62
     Nationwide
    -0.60
     tailored
    -0.60
     enthusiastically
    -0.60
     audition
    -0.60
    POSITIVE LOGITS
    itous
    1.57
    itates
    1.32
    itating
    1.30
    itated
    1.30
    itate
    1.25
    ice
    1.12
    itant
    1.09
    isions
    1.08
    itial
    1.00
    ices
    0.99
    Activations Density 0.047%

    No Known Activations