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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. 18248
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    Explanations

    phrases related to contrasting or balancing different sides or elements

    oai_token-act-pair · gpt-3.5-turbo

    words related to comparisons and oppositions

    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
    ©¶æ
    -0.77
     pione
    -0.61
     redes
    -0.59
     peaked
    -0.52
    č
    -0.51
     invaded
    -0.51
    rawdownload
    -0.51
    À
    -0.51
    Ă
    -0.51
    Č
    -0.50
    POSITIVE LOGITS
    .#
    1.08
    .'
    1.05
     attRot
    1.04
    .<
    1.01
    .","
    1.01
    .''
    1.00
    .
    1.00
    ."
    0.97
    .,"
    0.97
    .$
    0.96
    Activations Density 1.156%

    No Known Activations