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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. 10-RES-JB
    11. 10177
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mosqu
    -0.69
     conduc
    -0.68
     elig
    -0.66
     isolation
    -0.66
    Buyable
    -0.63
     waivers
    -0.61
     Agric
    -0.61
    VB
    -0.60
     Annotations
    -0.58
     unsupported
    -0.58
    POSITIVE LOGITS
    cking
    1.19
    king
    1.15
    kers
    1.13
    ked
    1.13
    tty
    1.06
    gger
    1.04
    shit
    1.03
    tch
    1.02
    ker
    0.98
    k
    0.97
    Activations Density 0.047%

    No Known Activations