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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. 4-RES-JB
    11. 4170
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    Explanations

    statements related to myths and facts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to myths and facts

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

    No Comments

    Negative Logits
     therap
    -0.88
    ktop
    -0.85
     behav
    -0.81
     toget
    -0.77
    ription
    -0.76
    artney
    -0.75
    arthy
    -0.73
    avorite
    -0.73
     externalToEVAOnly
    -0.73
    creen
    -0.73
    POSITIVE LOGITS
    Myth
    0.93
     Myth
    0.82
     Engine
    0.74
     Gear
    0.74
    ical
    0.74
     Stories
    0.73
    Code
    0.71
    ras
    0.71
    Works
    0.70
     Number
    0.70
    Activations Density 0.024%

    No Known Activations