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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. 10-RES-JB
    11. 12661
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    Explanations

    comparisons

    oai_token-act-pair · gpt-3.5-turbo

    contrasting statements or phrases in a review or commentary context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.76
    untary
    -0.76
    etermin
    -0.72
    enary
    -0.68
     Retrieved
    -0.68
    ilateral
    -0.67
    igate
    -0.66
    Introduction
    -0.66
    ictions
    -0.66
    icted
    -0.66
    POSITIVE LOGITS
     hey
    1.62
     nevertheless
    1.30
     nonetheless
    1.29
     luckily
    1.27
     alas
    1.22
     thankfully
    1.17
     yeah
    1.12
     damn
    1.11
     fortunately
    1.10
     honestly
    1.07
    Activations Density 0.264%

    No Known Activations