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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. 8103
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    Explanations

    terms related to industries and industrial activities

    oai_token-act-pair · gpt-3.5-turbo

    references to industrial topics and concepts

    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
    eus
    -0.80
    Pad
    -0.77
     Trey
    -0.73
    actly
    -0.72
     Rubio
    -0.72
     Cards
    -0.71
     Pelosi
    -0.71
     Nights
    -0.70
     Spo
    -0.68
    accompanied
    -0.67
    POSITIVE LOGITS
     industrial
    3.54
     Industrial
    2.71
    industrial
    2.55
    Indust
    1.98
     industrialized
    1.74
     agricultural
    1.69
     indust
    1.66
     manufacturing
    1.55
     Indust
    1.46
     industries
    1.42
    Activations Density 0.027%

    No Known Activations