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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 18270
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    Explanations

    phrases where someone is being labeled or called a negative term

    oai_token-act-pair · gpt-3.5-turbo

    instances of negative labels and accusations directed at individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    intent
    -0.71
    Instruct
    -0.71
    imates
    -0.67
     adjoining
    -0.65
    ANS
    -0.63
    aday
    -0.63
     appl
    -0.63
    grounds
    -0.62
    Edit
    -0.62
    MN
    -0.62
    POSITIVE LOGITS
     hoax
    1.00
     "
    0.91
     liar
    0.88
     "'
    0.82
     nuisance
    0.80
     miracle
    0.78
    versive
    0.77
     typo
    0.77
     fraud
    0.76
     '
    0.75
    Activations Density 0.141%

    No Known Activations