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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. 2-RES-JB
    11. 20838
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    Explanations

    mentions of words starting with "pre-" followed by a combination of letters

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of "pre" or "preparation" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    loo
    -0.83
     Slug
    -0.74
    Wheel
    -0.71
     Throne
    -0.71
     Heights
    -0.70
     Soup
    -0.70
     Skydragon
    -0.68
    adesh
    -0.67
    owship
    -0.67
     Kingdoms
    -0.64
    POSITIVE LOGITS
    requisites
    1.13
    fecture
    1.03
    req
    1.02
    hend
    0.94
    cells
    0.92
    fect
    0.88
    zn
    0.86
     facto
    0.86
     ejac
    0.85
    lude
    0.85
    Activations Density 0.017%

    No Known Activations