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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. 2976
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    Explanations

    phrases related to theories, ideas, and viewpoints

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating made claims or assertions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    usercontent
    -0.75
     resil
    -0.71
     wast
    -0.69
    nea
    -0.67
    adra
    -0.66
    aths
    -0.66
     servicing
    -0.65
    hess
    -0.64
     servic
    -0.63
    quished
    -0.61
    POSITIVE LOGITS
     conjecture
    0.83
     conject
    0.80
     aloud
    0.79
     extrap
    0.76
     uttered
    0.74
     slogans
    0.74
    ellectual
    0.73
    Discuss
    0.72
     underpin
    0.72
    construct
    0.72
    Activations Density 0.485%

    No Known Activations