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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. 4-RES-JB
    6. 7408
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    Explanations

    instances where someone is unable to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating lack of ability or capacity

    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
    agate
    -0.76
    soType
    -0.75
    oak
    -0.74
    soDeliveryDate
    -0.70
    RAFT
    -0.69
     Tradition
    -0.69
    deals
    -0.66
    cour
    -0.64
    Benz
    -0.63
    ocard
    -0.63
    POSITIVE LOGITS
     compe
    0.89
    ioned
    0.86
    icably
    0.77
     necessarily
    0.76
     adequately
    0.76
     incap
    0.74
    xes
    0.74
     incapac
    0.69
     inval
    0.69
     burd
    0.68
    Activations Density 0.022%

    No Known Activations