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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. 0-RES-JB
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    Explanations

    references to the concept of accountability

    oai_token-act-pair · gpt-3.5-turbo

    references to accountability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÃĽ
    -0.75
     leaf
    -0.74
    Ul
    -0.72
    OUS
    -0.71
    lass
    -0.69
     dotted
    -0.69
    \":
    -0.69
     Yen
    -0.67
    wered
    -0.66
    nil
    -0.66
    POSITIVE LOGITS
     accountability
    3.04
     Accountability
    2.19
    achment
    1.22
     impunity
    1.02
     retribution
    1.02
    rar
    0.97
     Responsibility
    0.93
     redemption
    0.92
     punishment
    0.89
     responsibility
    0.86
    Activations Density 0.025%

    No Known Activations