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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. 19907
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    Explanations

    direct references to understanding or comprehension

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "get it" along with variations of its use, particularly in contexts of understanding or misunderstanding

    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
    amiya
    -0.79
    CRE
    -0.77
    acco
    -0.66
    audi
    -0.59
     Arbor
    -0.55
     Fiat
    -0.55
    leasing
    -0.55
    existence
    -0.53
     Tire
    -0.53
    ellen
    -0.52
    POSITIVE LOGITS
    chy
    0.97
     wrong
    0.85
    wrong
    0.73
    otom
    0.68
     Wrong
    0.67
    ionic
    0.66
    ById
    0.66
     drift
    0.64
     gist
    0.63
    bred
    0.63
    Activations Density 0.167%

    No Known Activations