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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. 4826
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    Explanations

    entities declaring information or opinions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stated."

    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
    xtap
    -0.67
    tes
    -0.63
    estern
    -0.60
    ahu
    -0.59
    vernment
    -0.59
     Carbuncle
    -0.58
     Torn
    -0.58
    ender
    -0.57
    imet
    -0.57
    Enlarge
    -0.57
    POSITIVE LOGITS
     unequivocally
    1.21
     bluntly
    1.11
     plainly
    1.02
     emphatically
    0.99
     categor
    0.96
     goodbye
    0.91
     aloud
    0.87
     confidently
    0.86
     definitively
    0.80
     explicitly
    0.74
    Activations Density 0.066%

    No Known Activations