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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. 8-RES-JB
    11. 11270
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    Explanations

    technical phrases related to data analysis and model testing

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to classification and categorization

    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
    Emergency
    -0.81
    lbs
    -0.78
    adelphia
    -0.70
    ometown
    -0.70
    Owner
    -0.69
     VIP
    -0.68
     Dubai
    -0.67
    VIDEO
    -0.67
    wayne
    -0.65
     Mehran
    -0.65
    POSITIVE LOGITS
     philosophers
    1.34
     analogy
    1.30
     epist
    1.26
     presupp
    1.23
     empirical
    1.16
     eluc
    1.15
     conceptual
    1.15
     philosoph
    1.14
     analytic
    1.13
     hypotheses
    1.13
    Activations Density 1.499%

    No Known Activations