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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. 16568
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    Explanations

    phrases related to showcasing, demonstrating, or presenting characteristics or traits

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases related to exhibiting behaviors or characteristics

    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
    asha
    -0.69
     Debor
    -0.60
    soon
    -0.60
     Airlines
    -0.60
    lad
    -0.59
     distur
    -0.58
     unborn
    -0.58
    raft
    -0.57
     airliner
    -0.57
     Jah
    -0.57
    POSITIVE LOGITS
     considerable
    0.93
    stood
    0.85
     difficulty
    0.84
     degrees
    0.83
     distinct
    0.82
     similar
    0.82
     resemblance
    0.80
     similarities
    0.79
     strict
    0.79
     significant
    0.79
    Activations Density 0.385%

    No Known Activations