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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. 12887
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    Explanations

    phrases introducing biographical information

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "was" indicating past actions or states

    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
     entails
    -0.67
    holders
    -0.65
     antioxid
    -0.63
    ological
    -0.63
     Which
    -0.62
     Millions
    -0.62
    Make
    -0.61
     IMAGES
    -0.60
     HAVE
    -0.59
     sexes
    -0.59
    POSITIVE LOGITS
    hes
    1.04
     able
    1.00
     born
    0.97
    wolves
    0.92
    wolf
    0.92
    nt
    0.91
     briefed
    0.90
     originally
    0.86
     sentenced
    0.85
     awarded
    0.85
    Activations Density 0.388%

    No Known Activations