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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. 6-RES-JB
    6. 11150
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    Explanations

    references to entities being separate or different from others

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "the rest" in relation to groups or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gee
    -0.64
     scissors
    -0.63
    antha
    -0.63
    gged
    -0.63
     Rear
    -0.59
     Ear
    -0.58
    FK
    -0.57
    pload
    -0.56
     Dice
    -0.56
     evict
    -0.55
    POSITIVE LOGITS
    orative
    1.15
    ructure
    1.14
    raint
    0.84
    ocrine
    0.82
    erer
    0.78
    ayers
    0.76
    rike
    0.74
    ock
    0.74
    ricting
    0.74
    owment
    0.73
    Activations Density 0.017%

    No Known Activations