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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. 23402
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    Explanations

    references to having extra or additional resources

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "spare" and its variations in the context of time or resources

    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
    SOURCE
    -0.70
    essee
    -0.68
     appropri
    -0.66
    anwhile
    -0.66
    sein
    -0.66
    ablishment
    -0.65
    stasy
    -0.64
    iggurat
    -0.63
    gewater
    -0.62
    roots
    -0.62
    POSITIVE LOGITS
     spare
    0.78
     tire
    0.76
    liest
    0.74
    ware
    0.74
    ricular
    0.74
    inent
    0.72
     spared
    0.69
    zzi
    0.68
     Bees
    0.67
    plane
    0.67
    Activations Density 0.018%

    No Known Activations