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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. 14459
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    Explanations

    phrases related to work, construction, and procedures

    oai_token-act-pair · gpt-3.5-turbo

    references to construction and ongoing work processes

    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
     telling
    -0.81
     representations
    -0.76
     begging
    -0.72
     bragging
    -0.71
     bashing
    -0.69
     resisting
    -0.68
     liking
    -0.68
     Weld
    -0.67
     commenting
    -0.66
     Tome
    -0.66
    POSITIVE LOGITS
     commence
    1.66
     occur
    1.58
     proceed
    1.41
     begin
    1.37
     resume
    1.33
     commenced
    1.30
     happen
    1.25
     succeed
    1.14
     resumed
    1.13
     coincide
    1.10
    Activations Density 0.224%

    No Known Activations