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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. 9565
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    Explanations

    blog-related terms and references

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Blog" and its variations

    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
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    No Comments

    Negative Logits
    arching
    -0.73
     Lauder
    -0.71
    undai
    -0.63
     Scotia
    -0.63
    IELD
    -0.61
    eded
    -0.60
    TRUMP
    -0.60
    asonic
    -0.59
    negie
    -0.59
    itutional
    -0.59
    POSITIVE LOGITS
    gers
    1.61
    ging
    1.44
    ger
    1.35
    ged
    1.16
    osphere
    0.99
    glers
    0.88
    ges
    0.87
    culosis
    0.83
    ļéĨĴ
    0.81
    lov
    0.80
    Activations Density 0.016%

    No Known Activations