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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. 2-RES-JB
    11. 21502
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    Explanations

    verbs related to reprimanding or correcting someone's behavior

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to criticism or reprimanding actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forms
    -0.72
    ipeg
    -0.69
    akeru
    -0.66
     Occupations
    -0.66
    oples
    -0.65
    roots
    -0.65
     streets
    -0.64
     conception
    -0.63
     Heroes
    -0.62
     Folk
    -0.62
    POSITIVE LOGITS
     chast
    1.00
     rebuke
    0.98
     reprim
    0.97
     admon
    0.83
     questioning
    0.79
    FontSize
    0.77
    imaru
    0.77
     dissu
    0.74
     discipl
    0.73
    >>\
    0.73
    Activations Density 0.021%

    No Known Activations