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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. 3-RES-JB
    11. 24410
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    Explanations

    words related to questioning and categorizing information

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to destruction or loss

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.75
    ĸļ
    -0.75
    ãĤ´
    -0.71
     pes
    -0.70
    Attempts
    -0.70
    Drag
    -0.68
    ãĥ´ãĤ¡
    -0.67
    Psy
    -0.67
    OTOS
    -0.63
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.62
    POSITIVE LOGITS
    ewater
    0.92
    manship
    0.91
    aler
    0.82
    oway
    0.82
    ashtra
    0.81
    ifty
    0.79
    iland
    0.78
    aming
    0.77
    adin
    0.77
    abouts
    0.76
    Activations Density 0.061%

    No Known Activations