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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. 3-RES-JB
    11. 37
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    INDEX
    Explanations

    long, complex action words related to significant endeavors or tasks

    oai_token-act-pair · gpt-3.5-turbo

    words related to undertaking tasks or projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lua
    -0.73
    corn
    -0.68
    ular
    -0.62
     Reloaded
    -0.62
    endar
    -0.61
    room
    -0.61
     iPad
    -0.59
     Chimera
    -0.59
    ARS
    -0.59
    akin
    -0.58
    POSITIVE LOGITS
     undertaken
    1.20
     undertake
    1.00
     undertaking
    1.00
    ĸļ
    0.94
     undertook
    0.89
     endeavour
    0.88
    ngth
    0.83
    20439
    0.81
     endeav
    0.80
     endeavor
    0.80
    Activations Density 0.018%

    No Known Activations