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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. 5-RES-JB
    6. 7725
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    Explanations

    mentions of the word "Ent" or related to entities related to "Ent" in a variety of contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Ent" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.78
     Archangel
    -0.76
    strap
    -0.74
    phrine
    -0.72
     Spears
    -0.70
    manship
    -0.67
    BILITY
    -0.65
     Jenner
    -0.64
     sterling
    -0.64
     Atmospheric
    -0.62
    POSITIVE LOGITS
    ropy
    1.21
    itled
    1.20
    rance
    1.12
    renched
    1.04
    ipt
    1.02
    raction
    1.01
    itle
    0.94
    rants
    0.94
    ree
    0.94
    uri
    0.93
    Activations Density 0.010%

    No Known Activations