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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. 8-RES-JB
    11. 3268
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    Explanations

    references to broadband technology

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Broad" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Oro
    -0.87
    Downloadha
    -0.80
     Frankenstein
    -0.78
    è¦ļéĨĴ
    -0.69
     Canaver
    -0.68
     Guerrero
    -0.67
    ICAN
    -0.67
     Minerva
    -0.66
     Uriel
    -0.66
     Rubin
    -0.62
    POSITIVE LOGITS
    casters
    1.15
    band
    1.12
    bent
    1.10
    casting
    1.10
    casts
    1.09
    sword
    1.05
    caster
    1.01
    cast
    1.00
    ening
    0.96
    sheet
    0.94
    Activations Density 0.027%

    No Known Activations