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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. 7-RES-JB
    6. 1524
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating support or approval for a proposal or idea

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.80
    umbai
    -0.71
     typo
    -0.67
    ĸļ
    -0.64
    venants
    -0.64
    æ©Ł
    -0.64
     teased
    -0.64
    semble
    -0.63
     explodes
    -0.63
     thereafter
    -0.63
    POSITIVE LOGITS
     whichever
    0.84
     underdog
    0.82
     incumb
    0.82
    asty
    0.78
     Remain
    0.77
     legalizing
    0.74
     legalization
    0.72
     caution
    0.70
    itism
    0.70
     indef
    0.70
    Activations Density 0.146%

    No Known Activations