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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 14085
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    Explanations

    phrases related to measurements and quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical information and metrics related to time, quantity, or capacity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Markets
    -0.60
    mber
    -0.59
     trendy
    -0.58
     whistleblowers
    -0.58
     horr
    -0.58
    comings
    -0.57
     fears
    -0.57
     peoples
    -0.56
    roads
    -0.55
     shaky
    -0.55
    POSITIVE LOGITS
     per
    1.44
     apiece
    1.36
     each
    1.18
     depending
    1.13
     consecut
    1.11
     simultaneously
    1.05
     annually
    1.04
    depending
    1.00
    each
    1.00
     respectively
    0.98
    Activations Density 0.522%

    No Known Activations