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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. 11874
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    Explanations

    names or terms related to individuals or characters, potentially from different contexts or works

    oai_token-act-pair · gpt-3.5-turbo

    the repeated occurrences of the character "u"

    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
     skelet
    -0.71
     horizont
    -0.70
    =-=-
    -0.65
     Payton
    -0.63
    s
    -0.60
     incompet
    -0.60
     Compass
    -0.60
     SERV
    -0.59
    20439
    -0.59
     initials
    -0.58
    POSITIVE LOGITS
    cca
    1.33
    pport
    1.18
    itton
    1.09
    ccess
    1.09
    seless
    1.08
    pta
    1.07
    cius
    1.05
    igi
    1.03
    isine
    0.99
    hiro
    0.99
    Activations Density 0.054%

    No Known Activations