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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. 3-RES-JB
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    Explanations

    mentions of people being offended

    oai_token-act-pair · gpt-3.5-turbo

    references to being offended or offensive comments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ynthesis
    -0.72
    hare
    -0.72
    aver
    -0.70
    pring
    -0.70
     liner
    -0.65
     Clover
    -0.64
    ossession
    -0.63
    gravity
    -0.63
    issue
    -0.63
    uchin
    -0.62
    POSITIVE LOGITS
     offend
    1.10
     offended
    1.00
     insulted
    0.84
     blasp
    0.82
     offending
    0.81
     indecent
    0.79
     Yiannopoulos
    0.75
     insult
    0.75
     sexist
    0.74
    Sax
    0.74
    Activations Density 0.012%

    No Known Activations