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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. 7198
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    Explanations

    phrases related to taking control or responsibility for a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve exertion, effort, or challenges in various contexts

    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
    ment
    -0.74
    heny
    -0.70
    MENT
    -0.68
    tarian
    -0.67
    SPONSORED
    -0.66
    biz
    -0.64
    ments
    -0.62
    lav
    -0.61
    rang
    -0.61
    lik
    -0.61
    POSITIVE LOGITS
     oun
    0.68
    ayers
    0.68
     icing
    0.66
     squared
    0.62
     proverbial
    0.62
    Bench
    0.60
     nodd
    0.56
    IDER
    0.55
     rolling
    0.55
    ij士
    0.55
    Activations Density 0.201%

    No Known Activations