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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. 0-RES-JB
    11. 20300
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    Explanations

    terms related to medical conditions or treatments

    oai_token-act-pair · gpt-3.5-turbo

    words related to groups of people characterized by specific roles or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assian
    -0.76
     prisoner
    -0.71
     avatar
    -0.71
     sphere
    -0.69
     ally
    -0.69
     employee
    -0.69
     ancestor
    -0.69
     colleague
    -0.68
    herer
    -0.68
     comrade
    -0.68
    POSITIVE LOGITS
    urers
    1.84
    ulators
    1.76
    casters
    1.74
    iners
    1.71
    ateurs
    1.70
    orters
    1.70
    erers
    1.69
    glers
    1.69
    encers
    1.68
    ancers
    1.68
    Activations Density 0.090%

    No Known Activations