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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. 0-RES-JB
    11. 1768
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    Explanations

    specific words related to the concept of complexity or intricate details

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various "acies," particularly intricate and systemic aspects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     listing
    -0.65
     corridor
    -0.64
     Nare
    -0.64
     reass
    -0.63
     marker
    -0.62
     hearing
    -0.59
     Pluto
    -0.58
     arr
    -0.58
     prisoner
    -0.58
     Malk
    -0.58
    POSITIVE LOGITS
    acies
    4.68
    acy
    2.33
    acists
    2.03
    ACY
    1.74
    acist
    1.71
    ately
    1.41
    alties
    1.41
    atism
    1.41
    iencies
    1.40
    aces
    1.39
    Activations Density 0.015%

    No Known Activations