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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. 10-RES-JB
    11. 8066
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    Explanations

    phrases related to advanced, innovative, or leading technology and concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to cutting-edge technology or advancements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abe
    -0.83
    aun
    -0.82
    vana
    -0.76
     uncond
    -0.76
    iland
    -0.74
    abilities
    -0.72
    gettable
    -0.72
    iever
    -0.71
    flags
    -0.71
    ript
    -0.71
    POSITIVE LOGITS
     edge
    1.23
    edge
    1.19
    Edge
    1.08
     Edge
    1.08
     Stones
    0.84
     sands
    0.80
    tons
    0.78
     Stone
    0.77
     torches
    0.76
     violet
    0.76
    Activations Density 0.058%

    No Known Activations