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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. 4-RES-JB
    11. 26
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    INDEX
    Explanations

    trigger terms such as donation requests or calls to action

    oai_token-act-pair · gpt-3.5-turbo

    symbols and structured elements related to donations and contributions

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

    No Comments

    Negative Logits
    nel
    -0.96
    laus
    -0.92
    daq
    -0.92
    nell
    -0.91
    alities
    -0.91
    lund
    -0.86
    nings
    -0.85
    las
    -0.81
    nels
    -0.80
    nect
    -0.80
    POSITIVE LOGITS
     PLA
    0.79
    ¬¼
    0.75
    >>>>>>>>
    0.73
    byn
    0.71
    xual
    0.70
    licted
    0.69
    >>>
    0.67
    zed
    0.67
    UGE
    0.66
    >>>>
    0.64
    Activations Density 0.031%

    No Known Activations