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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. 17914
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    Explanations

    phrases related to importance

    oai_token-act-pair · gpt-3.5-turbo

    references to significant or essential concepts and elements

    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
    olini
    -0.75
    flat
    -0.72
    otti
    -0.71
     faintly
    -0.70
    igham
    -0.69
    ModLoader
    -0.67
    ãĤ¦ãĤ¹
    -0.64
    okingly
    -0.63
    Ire
    -0.62
    osa
    -0.62
    POSITIVE LOGITS
     viz
    0.83
     guarding
    0.70
     protecting
    0.70
    stone
    0.66
     safegu
    0.66
     (>
    0.66
     ensuring
    0.66
     jun
    0.65
     underpin
    0.64
    YP
    0.62
    Activations Density 0.203%

    No Known Activations