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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. 9-RES-JB
    11. 17731
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    Explanations

    uh, neuron 4 seems to be looking for sentences or phrases related to technical instructions or steps

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     occupations
    -0.78
     occupation
    -0.77
     numbered
    -0.76
    emort
    -0.75
    ?????-?????-
    -0.73
    ciplinary
    -0.72
     abstinence
    -0.71
     blame
    -0.70
     dispar
    -0.70
    sect
    -0.68
    POSITIVE LOGITS
     Additionally
    1.61
     Moreover
    1.49
     Furthermore
    1.48
     Previously
    1.32
     Whereas
    1.30
     Essentially
    1.30
     Users
    1.30
     Unlike
    1.28
     Lastly
    1.27
     Alternatively
    1.27
    Activations Density 0.381%

    No Known Activations