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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. 9-RES-JB
    11. 2383
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    Explanations

    mentions of the province of Ontario

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Ontario and its related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bler
    -0.85
    riz
    -0.80
    ãĥķ
    -0.79
    Afee
    -0.76
    geist
    -0.74
    ader
    -0.73
    INESS
    -0.71
    eting
    -0.69
    uristic
    -0.69
    =-=-=-=-=-=-=-=-
    -0.68
    POSITIVE LOGITS
     Provincial
    1.12
     Superior
    0.87
    incial
    0.84
     Universities
    0.83
     provincial
    0.83
     Pradesh
    0.79
     NDP
    0.78
     province
    0.77
     legislatures
    0.77
     governments
    0.76
    Activations Density 0.041%

    No Known Activations