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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. 11416
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    Explanations

    references to background checks or information

    oai_token-act-pair · gpt-3.5-turbo

    references to background checks and related information

    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
     ILCS
    -0.77
    erion
    -0.76
    ikh
    -0.74
    hap
    -0.74
    hof
    -0.73
    dp
    -0.70
    nia
    -0.68
     Wend
    -0.66
    hab
    -0.65
    ishi
    -0.65
    POSITIVE LOGITS
     checks
    0.84
     backgrounds
    0.80
     background
    0.78
    coat
    0.74
     Investigations
    0.74
     Background
    0.73
     Checks
    0.71
     investigations
    0.68
     briefings
    0.67
     check
    0.66
    Activations Density 0.023%

    No Known Activations