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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. 10-RES-JB
    6. 7384
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    INDEX
    Explanations

    names of locations or organizations along with the year they were founded or started

    oai_token-act-pair · gpt-3.5-turbo

    information related to the founding years and historical details of entities and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chance
    -0.64
     Journals
    -0.63
    aukee
    -0.63
     dstg
    -0.62
    Especially
    -0.62
    yip
    -0.61
    NULL
    -0.61
    abus
    -0.61
     Possible
    -0.60
    ubi
    -0.60
    POSITIVE LOGITS
     subsequently
    1.34
     morphed
    1.18
     became
    1.17
     transitioned
    1.16
     remained
    1.16
     lasted
    1.15
    sequently
    1.12
     eventually
    1.11
     quickly
    1.10
     grew
    1.09
    Activations Density 0.527%

    No Known Activations