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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. 1333
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    INDEX
    Explanations

    words related to submergence or immersion

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to self-reference or identity

    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
     blot
    -0.73
    ©¶æ
    -0.66
     unfinished
    -0.64
     borders
    -0.62
     ashes
    -0.62
     limitation
    -0.61
     hed
    -0.61
     crem
    -0.60
     sidewalks
    -0.60
     chopping
    -0.60
    POSITIVE LOGITS
    oided
    0.77
    ocus
    0.74
    IAS
    0.74
    brew
    0.74
    ati
    0.72
    uncture
    0.71
    Adventure
    0.70
    ESSION
    0.70
    ONEY
    0.69
    LAB
    0.69
    Activations Density 0.418%

    No Known Activations