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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. 1-RES-JB
    6. 18363
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    Explanations

    specific acronyms related to legislation or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific legislative bills or codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eers
    -0.85
    ãĤ¤ãĥĪ
    -0.85
    eer
    -0.80
    emouth
    -0.79
    aukee
    -0.74
    PsyNetMessage
    -0.72
    bourg
    -0.72
    ablishment
    -0.71
    zie
    -0.70
    ãĥ¼ãĥ³
    -0.69
    POSITIVE LOGITS
     SB
    1.16
    rams
    0.73
    nation
    0.72
    endi
    0.69
    armor
    0.68
     OC
    0.66
    PK
    0.66
    UX
    0.65
    istani
    0.63
    enda
    0.63
    Activations Density 0.008%

    No Known Activations