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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. 9-RES-JB
    6. 14468
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    INDEX
    Explanations

    signature elements like symbols or markers separating different sections or articles within a text

    oai_token-act-pair · gpt-3.5-turbo

    calls to action and engagement prompts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kad
    -0.65
     Resolution
    -0.64
     assignments
    -0.61
     waivers
    -0.60
     resid
    -0.60
     residency
    -0.60
    fac
    -0.59
     inverse
    -0.58
    baum
    -0.58
     Gardner
    -0.58
    POSITIVE LOGITS
    Actor
    0.76
    steen
    0.74
    everal
    0.73
    CAR
    0.72
    arnaev
    0.72
    Pin
    0.70
    Brow
    0.69
     dstg
    0.69
    Hillary
    0.68
    ilage
    0.68
    Activations Density 0.056%

    No Known Activations