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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. 11376
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    Explanations

    words related to optimization and stabilization

    oai_token-act-pair · gpt-3.5-turbo

    terms related to optimization and stability

    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
    RESULTS
    -0.81
    hyde
    -0.76
     Sapphire
    -0.72
    ORN
    -0.70
     Aber
    -0.66
    IDA
    -0.66
     Surgery
    -0.66
     Solitaire
    -0.65
     Redemption
    -0.65
    IRO
    -0.64
    POSITIVE LOGITS
    isations
    1.46
    isation
    1.24
    istically
    1.23
    isers
    1.21
    izers
    1.19
    izations
    1.18
    ised
    1.18
    ise
    1.13
    ising
    1.13
    iser
    1.11
    Activations Density 0.017%

    No Known Activations