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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. 10-RES-JB
    11. 12493
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    Explanations

    phrases related to giving explanations or justifications

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly full stops and colons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rogen
    -0.73
     brill
    -0.72
    kefeller
    -0.69
     torpedo
    -0.68
    !",
    -0.67
     runaway
    -0.67
    bish
    -0.67
     jelly
    -0.67
     fiance
    -0.67
    rive
    -0.65
    POSITIVE LOGITS
     âĢ
    2.27
     ¶
    1.63
    âĢ
    1.49
     **
    1.46
     «
    1.35
     ®
    1.35
     âĸ
    1.29
     âĶ
    1.27
     ÂŃ
    1.24
     >>>
    1.21
    Activations Density 0.333%

    No Known Activations