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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. 7-RES-JB
    11. 11536
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    Explanations

    phrases related to gaining understanding or information

    oai_token-act-pair · gpt-3.5-turbo

    references to gain understanding or knowledge

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ategory
    -0.71
    HAM
    -0.58
    FACE
    -0.58
    aval
    -0.58
     fuss
    -0.57
    senal
    -0.56
    ouf
    -0.56
     Vengeance
    -0.56
     disbanded
    -0.56
     shr
    -0.55
    POSITIVE LOGITS
     glean
    1.11
    ively
    1.00
    ibility
    0.98
     insights
    0.95
     insight
    0.92
    ible
    0.87
    ibly
    0.84
    fully
    0.83
    ories
    0.77
    ives
    0.74
    Activations Density 0.038%

    No Known Activations