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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. 21795
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    Explanations

    informal phrases or entities starting with the word "we"

    oai_token-act-pair · gpt-3.5-turbo

    the word "We" and its variations, indicating a focus on collective experiences or actions

    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
     srfAttach
    -0.62
     quo
    -0.58
     Fortune
    -0.58
     firsthand
    -0.55
     Ocean
    -0.55
     buck
    -0.54
     Cliff
    -0.54
     writ
    -0.54
     otherwise
    -0.52
     Paper
    -0.51
    POSITIVE LOGITS
    asel
    1.46
    athered
    1.34
    akening
    1.26
    lder
    1.24
    avers
    1.24
    evil
    1.23
    ibo
    1.23
    bsite
    1.23
    eping
    1.22
    bsp
    1.18
    Activations Density 0.059%

    No Known Activations