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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. 1500
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    Explanations

    pieces of text indicating accidental or unexpected discovery

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "came across."

    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
    ¶ħ
    -0.68
    cussion
    -0.66
    sis
    -0.65
    wake
    -0.65
     separ
    -0.64
    jab
    -0.63
    charge
    -0.62
    wives
    -0.62
    imet
    -0.61
    ña
    -0.59
    POSITIVE LOGITS
     something
    0.80
     glimps
    0.76
     clues
    0.76
     objectionable
    0.74
     somewhere
    0.69
    arthed
    0.68
     Something
    0.67
    ](
    0.67
     Craigslist
    0.66
     inconsistencies
    0.66
    Activations Density 0.156%

    No Known Activations