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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. 4-RES-JB
    11. 4250
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    Explanations

    phrases related to improvement or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to improvement or enhancement

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

    No Comments

    Negative Logits
    DragonMagazine
    -0.72
     Apostle
    -0.67
    die
    -0.62
    Surv
    -0.62
     Oo
    -0.61
    aries
    -0.61
    boy
    -0.61
    Lord
    -0.61
    puted
    -0.61
     Mortal
    -0.61
    POSITIVE LOGITS
    ments
    0.89
     tremend
    0.86
    itures
    0.83
     enrichment
    0.83
     misunder
    0.79
    itial
    0.78
    eston
    0.76
     deepen
    0.75
    oster
    0.75
    impact
    0.74
    Activations Density 0.078%

    No Known Activations