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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. 12452
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    Explanations

    phrases related to communication or interaction with people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    requests or inquiries being made

    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
     dominated
    -0.61
    rab
    -0.60
     Hebdo
    -0.59
     depended
    -0.58
     Swordsman
    -0.58
    living
    -0.57
     Gutenberg
    -0.56
    pole
    -0.56
    MJ
    -0.56
     dominates
    -0.56
    POSITIVE LOGITS
     discuss
    1.33
     ask
    1.31
     inquire
    1.30
     clarify
    1.22
     assure
    1.22
     apologise
    1.21
     reassure
    1.20
     congratulate
    1.18
     complain
    1.17
     arrange
    1.17
    Activations Density 0.093%

    No Known Activations