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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15924
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    Explanations

    words related to social inclusion and exclusion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to inclusion and exclusion within social and political contexts

    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
    CLASSIFIED
    -0.76
     weap
    -0.71
    acca
    -0.71
    ascus
    -0.71
     neglig
    -0.67
     decl
    -0.64
     reper
    -0.64
     mill
    -0.62
     rpm
    -0.62
     arousal
    -0.59
    POSITIVE LOGITS
    clusion
    0.96
    ary
    0.95
    iveness
    0.92
    ivist
    0.85
    ively
    0.79
    ivity
    0.78
    ivism
    0.77
    itarian
    0.77
    naire
    0.76
    ante
    0.75
    Activations Density 0.032%

    No Known Activations