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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. 5-RES-JB
    6. 4212
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    Explanations

    words related to initiating or beginning an action or discussion

    oai_token-act-pair · gpt-3.5-turbo

    the repeated word "let's" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Source
    -0.72
    è»
    -0.70
    eur
    -0.69
     Reef
    -0.68
    CVE
    -0.68
    ELD
    -0.67
     Able
    -0.65
     restraints
    -0.61
    pak
    -0.60
     Allied
    -0.60
    POSITIVE LOGITS
    ween
    0.91
    acters
    0.81
    apo
    0.76
    emonic
    0.76
    wered
    0.75
    tha
    0.75
     fulfill
    0.75
     settle
    0.74
    nyder
    0.74
    achu
    0.72
    Activations Density 0.047%

    No Known Activations