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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. 0-RES-JB
    11. 641
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    Explanations

    phrases related to the term "HI" with various contextual meanings such as locations, organizations, and events

    oai_token-act-pair · gpt-3.5-turbo

    references to intergovernmental or space exploration organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scenes
    -0.73
     Able
    -0.66
     Ker
    -0.63
     corners
    -0.62
     Trace
    -0.61
     Ant
    -0.61
     Oliver
    -0.60
     bot
    -0.60
     Plex
    -0.59
     destiny
    -0.59
    POSITIVE LOGITS
    HI
    4.75
     HI
    1.90
    hi
    1.72
    HO
    1.30
    HM
    1.28
    HR
    1.26
    HF
    1.26
    HA
    1.24
    HE
    1.22
    MI
    1.21
    Activations Density 0.020%

    No Known Activations