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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. 10060
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    INDEX
    Explanations

    adjective-noun pairs indicating satisfaction or acceptance

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "content."

    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
    rolet
    -0.71
     damn
    -0.63
    Äĩ
    -0.61
     Siem
    -0.60
    udeb
    -0.59
     DAM
    -0.59
    ipers
    -0.59
    iami
    -0.59
     Dee
    -0.58
    JD
    -0.57
    POSITIVE LOGITS
    edly
    1.44
    ment
    1.06
    ioned
    0.99
    ions
    0.91
    iar
    0.85
     content
    0.82
    icut
    0.81
    onite
    0.80
    Content
    0.80
    ication
    0.79
    Activations Density 0.020%

    No Known Activations