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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. 6-RES-JB
    6. 23556
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    Explanations

    phrases related to comparisons of lower quantities or qualities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the concept of "least" or minimal comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ses
    -0.80
     Reborn
    -0.76
    xxxxxxxx
    -0.72
    kefeller
    -0.72
    clerosis
    -0.69
    gnu
    -0.68
    xxxx
    -0.68
    axter
    -0.66
    kas
    -0.66
    kan
    -0.65
    POSITIVE LOGITS
    erest
    0.80
     practicable
    0.75
     bit
    0.75
     intrusive
    0.74
     toler
    0.72
     possible
    0.71
     conspicuous
    0.70
     conceivable
    0.69
     amount
    0.69
     forgiving
    0.68
    Activations Density 0.016%

    No Known Activations