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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. 1712
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    Explanations

    scientific terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to various phenomena or observed events

    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
    gur
    -0.96
    zar
    -0.77
    oÄŁ
    -0.75
    umenthal
    -0.72
    ãĤĮ
    -0.72
    zik
    -0.72
    ramid
    -0.71
    bitious
    -0.69
    endars
    -0.67
    pees
    -0.67
    POSITIVE LOGITS
     phenomenon
    0.91
    ively
    0.89
    ually
    0.88
     whereby
    0.88
     occurring
    0.86
    ional
    0.86
     phenomena
    0.80
    ĸļ
    0.79
    icity
    0.77
     occurrence
    0.77
    Activations Density 0.040%

    No Known Activations