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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. 8-RES-JB
    11. 19401
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    Explanations

    words related to surveillance and investigation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of punctuation marks or specific phrases that may indicate listing or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.59
    ynski
    -0.58
    ords
    -0.55
    IER
    -0.55
     Camel
    -0.54
    ICLE
    -0.54
     Dems
    -0.51
    Newsletter
    -0.50
    lon
    -0.49
    itol
    -0.49
    POSITIVE LOGITS
     albeit
    0.78
    actionDate
    0.72
     manipulate
    0.72
     nurture
    0.70
    collect
    0.70
    rehend
    0.67
     regulate
    0.67
     organize
    0.67
    ulkan
    0.67
     rehabilit
    0.66
    Activations Density 0.232%

    No Known Activations