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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. 11-RES-JB
    11. 5760
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    INDEX
    Explanations

    comparative adjectives indicating a higher degree of comparison

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "much" to indicate degree or extent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    querade
    -0.71
    pta
    -0.68
    ortium
    -0.66
     Tags
    -0.65
    auri
    -0.65
    amation
    -0.65
    jet
    -0.62
    ruby
    -0.62
    owship
    -0.61
    poke
    -0.61
    POSITIVE LOGITS
     ado
    1.36
     nicer
    1.25
     easier
    1.20
     simpler
    1.18
     harder
    1.17
     clearer
    1.14
     smoother
    1.13
     cheaper
    1.13
     closer
    1.12
     quicker
    1.11
    Activations Density 0.056%

    No Known Activations