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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. 2-RES-JB
    11. 14268
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    INDEX
    Explanations

    phrases related to negative quality judgements like "bland" or "mediocre."

    oai_token-act-pair · gpt-3.5-turbo

    descriptors indicating a lack of quality or excitement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Æ
    -0.74
    externalActionCode
    -0.72
     Libraries
    -0.69
    Fal
    -0.68
     Distribut
    -0.68
    agnar
    -0.63
     Millions
    -0.63
    ĨĴ
    -0.63
    astern
    -0.62
     federation
    -0.62
    POSITIVE LOGITS
     bland
    1.02
    ish
    0.92
    ishly
    0.87
    endor
    0.87
    idy
    0.82
    est
    0.82
    ishment
    0.79
    ishing
    0.77
    eless
    0.77
    ishes
    0.74
    Activations Density 0.017%

    No Known Activations