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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. 3-RES-JB
    11. 12852
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    Explanations

    mentions of specific regional identifiers, particularly from Texas or the state's various forms of classification

    oai_token-act-pair · gpt-3.5-turbo

    word endings related to specific regional identities, particularly those associated with Texas and California

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    met
    -0.81
    matic
    -0.77
    metadata
    -0.75
    ovie
    -0.74
    redd
    -0.73
    otation
    -0.72
    lyak
    -0.72
    inus
    -0.72
    chwitz
    -0.72
    illus
    -0.71
    POSITIVE LOGITS
    istan
    0.71
    tarian
    0.71
     Psychiat
    0.70
     enclave
    0.69
     Grove
    0.69
     Affairs
    0.66
    ism
    0.66
     affairs
    0.65
     newspaper
    0.64
     Prairie
    0.64
    Activations Density 0.116%

    No Known Activations