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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. 7-RES-JB
    11. 19486
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    Explanations

    phrases indicating target audiences for different products or services

    oai_token-act-pair · gpt-3.5-turbo

    references to various user groups and their levels of experience

    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
    Reloaded
    -0.69
     merged
    -0.68
     slurs
    -0.66
    shadow
    -0.65
     affidav
    -0.64
     disav
    -0.60
     Reverend
    -0.59
    Thumbnail
    -0.58
    tein
    -0.58
     retracted
    -0.57
    POSITIVE LOGITS
     alike
    1.10
    erning
    0.93
     wanting
    0.89
     enthusi
    0.87
     interested
    0.83
     wishing
    0.83
    omever
    0.78
    ple
    0.78
    OPLE
    0.77
     liking
    0.77
    Activations Density 0.365%

    No Known Activations