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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. 9999
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    Explanations

    words associated with offering additional content or resources

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the addition or availability of more content or options

    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
    xtap
    -0.79
    ãĥ¼ãĥĨ
    -0.73
    pload
    -0.72
    imaru
    -0.71
    iman
    -0.71
     Rape
    -0.66
     Quart
    -0.65
     2024
    -0.65
    ufact
    -0.65
    uca
    -0.64
    POSITIVE LOGITS
     importantly
    1.39
     than
    1.06
     goodies
    0.96
     refined
    0.93
     sophisticated
    0.91
     efficient
    0.84
     challeng
    0.84
     exciting
    0.83
     advanced
    0.80
     extensive
    0.79
    Activations Density 0.057%

    No Known Activations