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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 2238
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    oai_token-act-pair · gpt-3.5-turbo

    numerical values in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    aned
    -0.67
     strains
    -0.66
    ples
    -0.64
    ables
    -0.64
     faded
    -0.63
    wings
    -0.63
    ple
    -0.63
     curs
    -0.62
    pled
    -0.61
    Enough
    -0.61
    POSITIVE LOGITS
    Fax
    0.86
     INFO
    0.78
     Albion
    0.77
     Investigator
    0.77
     IMAGES
    0.77
    999
    0.76
    GMT
    0.76
     fax
    0.76
     Admission
    0.73
     CrossRef
    0.71
    Activations Density 0.031%

    No Known Activations