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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. 6-RES-JB
    11. 1028
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    Explanations

    mentions of emerging markets

    oai_token-act-pair · gpt-3.5-turbo

    references to emerging markets

    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
    tesy
    -0.86
    bia
    -0.84
    fax
    -0.83
    idation
    -0.80
    ibur
    -0.76
    gio
    -0.73
    zzi
    -0.72
    vil
    -0.72
    ÃŃa
    -0.71
    udge
    -0.71
    POSITIVE LOGITS
     technologies
    0.98
     markets
    0.85
     economies
    0.84
     emerging
    0.77
     victorious
    0.76
     alliances
    0.76
     technology
    0.75
     democracies
    0.74
     Markets
    0.73
     superpower
    0.70
    Activations Density 0.027%

    No Known Activations