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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    phrases related to holding individuals or groups accountable for their actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "accountable" and concepts related to accountability

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

    No Comments

    Negative Logits
    lyn
    -0.84
    ker
    -0.81
    fen
    -0.74
    mare
    -0.74
    othe
    -0.70
    Fan
    -0.70
    nz
    -0.70
    fer
    -0.70
    ning
    -0.69
    xxxx
    -0.69
    POSITIVE LOGITS
     accountable
    1.13
    rity
    0.82
     Accountability
    0.82
     adjud
    0.81
     dilig
    0.77
     accountability
    0.75
     institution
    0.73
     institutions
    0.71
     whistlebl
    0.71
     Pengu
    0.70
    Activations Density 0.009%

    No Known Activations