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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. 20234
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    INDEX
    Explanations

    proper nouns referring to people making statements or giving interviews

    oai_token-act-pair · gpt-3.5-turbo

    reported speech or statements made by individuals

    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
    VIS
    -0.65
    amac
    -0.64
    pee
    -0.63
    fell
    -0.63
    ARS
    -0.60
    ayne
    -0.59
    isal
    -0.58
    agra
    -0.57
    involved
    -0.56
    arette
    -0.56
    POSITIVE LOGITS
     thanking
    0.68
     aloud
    0.67
     plaint
    0.67
     bluntly
    0.66
     goodbye
    0.66
     sarcast
    0.64
    :]
    0.63
    aturdays
    0.61
     categor
    0.61
    :"
    0.61
    Activations Density 0.227%

    No Known Activations