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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. 10-RES-JB
    6. 4177
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    Explanations

    words related to ethical evaluation, including concepts such as morality, acceptability, appropriateness, and correctness

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Kings
    -0.61
    ston
    -0.60
    quin
    -0.58
    76561
    -0.55
    rongh
    -0.53
    phabet
    -0.53
     Ended
    -0.52
    along
    -0.50
    bum
    -0.50
    illions
    -0.50
    POSITIVE LOGITS
     to
    1.01
    ceivable
    0.77
     practise
    0.71
    to
    0.70
     for
    0.69
     folly
    0.68
    ifiable
    0.65
    ²¾
    0.63
    To
    0.62
    erto
    0.58
    Activations Density 0.184%

    No Known Activations