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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. 6-RES-JB
    11. 7172
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    Explanations

    politically charged and potentially controversial words and terms in text

    oai_token-act-pair · gpt-3.5-turbo

    patterns of letters and non-standard characters in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ModLoader
    -0.78
    Daily
    -0.67
    Arcade
    -0.64
    CHR
    -0.64
     âĢº
    -0.63
    Frameworks
    -0.63
    Story
    -0.62
     Monthly
    -0.62
    âĸĵ
    -0.61
    SCP
    -0.61
    POSITIVE LOGITS
    ande
    0.99
    ensis
    0.89
    otal
    0.82
    arse
    0.77
    nant
    0.75
    oop
    0.75
    onto
    0.74
    ament
    0.72
    ote
    0.71
    anda
    0.71
    Activations Density 0.268%

    No Known Activations