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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
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    Explanations

    instances where someone or something is being held accountable for their actions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of accountability

    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
    othe
    -0.88
    nz
    -0.75
    lyn
    -0.74
    tein
    -0.70
    fen
    -0.68
    sur
    -0.68
    ————————————————
    -0.67
    bt
    -0.67
    etc
    -0.67
    ++++++++++++++++
    -0.67
    POSITIVE LOGITS
     accountable
    1.20
     accountability
    0.85
     citiz
    0.81
    isable
    0.79
     adjud
    0.78
     Accountability
    0.78
     obliged
    0.77
     metic
    0.76
    rity
    0.74
     shenan
    0.74
    Activations Density 0.007%

    No Known Activations