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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 16501
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    INDEX
    Explanations

    negative sentiments or outcomes in texts

    oai_token-act-pair · gpt-3.5-turbo

    negative or disappointing outcomes and responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ²¾
    -0.74
    abella
    -0.71
    liam
    -0.61
     guiIcon
    -0.60
     pestic
    -0.58
     à¨
    -0.58
     univers
    -0.58
    arget
    -0.57
    rylic
    -0.57
    ãĤ¼ãĤ¦ãĤ¹
    -0.57
    POSITIVE LOGITS
    .:
    0.97
    .):
    0.93
    .[
    0.92
    .#
    0.90
    .
    0.88
     due
    0.87
    due
    0.85
    :[
    0.85
    :
    0.84
     beforehand
    0.82
    Activations Density 0.719%

    No Known Activations