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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. 6-RES-JB
    6. 1360
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    Explanations

    mentions of the word "Sin" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Sin" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -1.02
    enance
    -0.75
    dropping
    -0.75
     downed
    -0.74
     deficits
    -0.73
    ĵĺ
    -0.72
    psey
    -0.70
    ¶ħ
    -0.70
    ITAL
    -0.69
    yright
    -0.68
    POSITIVE LOGITS
    ners
    1.09
    atra
    1.03
    ned
    1.00
    estro
    1.00
    clair
    0.98
    uous
    0.93
    ister
    0.92
    ews
    0.91
    ja
    0.86
    oma
    0.86
    Activations Density 0.019%

    No Known Activations