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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. 9-RES-JB
    6. 12015
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    entities associated with specific actions or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ASA
    -0.88
     paras
    -0.79
     ASP
    -0.78
     Sim
    -0.78
     Tib
    -0.77
     Sob
    -0.75
     impedance
    -0.75
    ãĥ³ãĤ¸
    -0.74
     acron
    -0.74
     Symb
    -0.72
    POSITIVE LOGITS
    ll
    1.67
    LL
    1.35
    ill
    1.28
    ell
    1.28
    ELL
    1.21
    oll
    1.12
    yll
    1.12
    ILL
    1.12
    rell
    1.11
    illy
    1.10
    Activations Density 0.219%

    No Known Activations