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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20914
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    INDEX
    Explanations

    words related to conclusions or logical consequences

    oai_token-act-pair · gpt-3.5-turbo

    the term "therefore" and its various contexts in formal reasoning or conclusions

    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
     Omaha
    -0.81
     Amar
    -0.73
     Penny
    -0.72
     Williamson
    -0.72
     Holly
    -0.70
     Oklahoma
    -0.70
     Freddy
    -0.69
     Ok
    -0.68
     Cedar
    -0.67
     Sov
    -0.67
    POSITIVE LOGITS
    forth
    1.10
    ãģ®éŃĶ
    0.89
    phas
    0.86
    interpret
    0.83
    ²¾
    0.80
    åĤ
    0.80
    bably
    0.78
    dict
    0.78
    ettings
    0.78
    ement
    0.77
    Activations Density 0.038%

    No Known Activations