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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. 13162
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    Explanations

    introductory phrases indicating discussion or explanation of a topic

    oai_token-act-pair · gpt-3.5-turbo

    introductory phrases that indicate the purpose of an article or tutorial

    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
    yss
    -0.73
     Crosby
    -0.67
     holiest
    -0.61
    acha
    -0.60
     texted
    -0.59
     Seat
    -0.58
     MSG
    -0.58
     Reserv
    -0.57
    MJ
    -0.57
    HAHA
    -0.57
    POSITIVE LOGITS
     summarize
    1.19
     illustrate
    1.17
     describe
    1.16
     discuss
    1.15
     outline
    1.15
     explain
    1.12
     demonstrate
    1.11
     examine
    1.09
     introduce
    1.09
     explore
    1.07
    Activations Density 0.154%

    No Known Activations