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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. 7-RES-JB
    11. 15249
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    Explanations

    conjunctions connecting actions or events

    oai_token-act-pair · gpt-3.5-turbo

    repeated use of the word "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ificantly
    -0.71
    ANC
    -0.70
     Volunteers
    -0.70
    actionDate
    -0.70
     Partnership
    -0.70
    Oper
    -0.69
    lihood
    -0.69
    dayName
    -0.69
    UC
    -0.69
    :[
    -0.69
    POSITIVE LOGITS
     blah
    1.19
     stuff
    1.01
     THEN
    0.82
     drown
    0.81
     maybe
    0.78
     gigg
    0.78
     fluffy
    0.76
     shit
    0.76
     bang
    0.76
     wondering
    0.76
    Activations Density 0.414%

    No Known Activations