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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. 18423
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    INDEX
    Explanations

    adjectives describing the intensity or nature of a situation

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptions related to societal issues

    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
     Tut
    -0.52
     Tud
    -0.51
     Lincoln
    -0.48
     Milton
    -0.46
     Alto
    -0.44
     Hammond
    -0.44
     NEC
    -0.43
     Keynes
    -0.43
     ax
    -0.42
     Umb
    -0.42
    POSITIVE LOGITS
    */(
    0.79
    è¦ļéĨĴ
    0.74
    EStream
    0.67
    âĹ¼
    0.66
     ðŁij
    0.63
    .?
    0.63
    soDeliveryDate
    0.62
    ////
    0.62
    [/
    0.62
    _-
    0.60
    Activations Density 2.247%

    No Known Activations