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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. 7474
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    INDEX
    Explanations

    adverbs emphasizing the extremity of a certain quality or attribute

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "very" indicating emphasis

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Releases
    -0.85
    ensis
    -0.81
     Extensions
    -0.74
    olor
    -0.73
    lees
    -0.73
     Chips
    -0.71
    ULTS
    -0.70
    ses
    -0.70
    aneers
    -0.69
     Picks
    -0.69
    POSITIVE LOGITS
     important
    0.96
     similar
    0.92
     rare
    0.89
     interesting
    0.88
     informative
    0.87
     difficult
    0.87
     different
    0.86
     complicated
    0.86
     useful
    0.85
     expensive
    0.85
    Activations Density 0.026%

    No Known Activations