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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 11889
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    Explanations

    phrases related to taking responsibility for actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to accountability and responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paces
    -0.71
    ibaba
    -0.69
    eki
    -0.69
    illi
    -0.67
    wang
    -0.66
    soDeliveryDate
    -0.64
    utenberg
    -0.64
     Groups
    -0.63
    Discuss
    -0.61
    OSH
    -0.59
    POSITIVE LOGITS
     sins
    1.24
     sake
    1.17
     inconvenience
    1.01
     crimes
    1.00
     actions
    0.94
     failings
    0.93
     transgress
    0.92
     mistakes
    0.90
     failures
    0.89
     privilege
    0.85
    Activations Density 0.281%

    No Known Activations