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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. 11-RES-JB
    11. 17489
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    explicit language and strong profanity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Procedures
    -0.65
     waivers
    -0.63
     isolation
    -0.63
     ambig
    -0.62
    Buyable
    -0.62
     improbable
    -0.59
     inadvert
    -0.58
     associations
    -0.58
     Asc
    -0.58
     narrowly
    -0.58
    POSITIVE LOGITS
    cking
    1.32
    tch
    1.27
    gger
    1.23
    kers
    1.16
    ck
    1.16
    holes
    1.15
    king
    1.14
    tty
    1.11
    hole
    1.10
    cks
    1.10
    Activations Density 0.070%

    No Known Activations