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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. 5-RES-JB
    6. 15633
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    Explanations

    published dates

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Published" along with associated publication dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ixel
    -0.77
    utic
    -0.76
    ovable
    -0.75
    porary
    -0.72
    mini
    -0.72
    oles
    -0.71
    oso
    -0.70
    hov
    -0.70
    arden
    -0.69
    antics
    -0.69
    POSITIVE LOGITS
    âĸ¬âĸ¬
    0.78
    âĸ¬
    0.76
    à¨
    0.74
    NESS
    0.71
     Date
    0.70
     aloud
    0.70
    lishing
    0.69
    à©
    0.68
     rul
    0.67
    Published
    0.67
    Activations Density 0.019%

    No Known Activations