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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. 14647
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    Explanations

    terms related to authoritative texts or doctrines

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "canon" and canonical references in various contexts

    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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    Negative Logits
    undai
    -0.69
    RANT
    -0.68
    Frameworks
    -0.67
    -+
    -0.66
     Pupp
    -0.65
    wx
    -0.63
    Beaut
    -0.62
    ungle
    -0.60
    inx
    -0.60
    pants
    -0.60
    POSITIVE LOGITS
    icals
    1.26
    icity
    1.13
    ical
    1.10
    ically
    1.03
    icles
    1.02
    ervative
    0.90
    esan
    0.88
    icle
    0.87
    canon
    0.86
    ization
    0.85
    Activations Density 0.034%

    No Known Activations