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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. 8-RES-JB
    11. 8439
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    Explanations

    terms related to different types of information or data, such as users, software, data breaches, and operations

    oai_token-act-pair · gpt-3.5-turbo

    references to various technological developments and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erenn
    -0.56
    humans
    -0.55
    cients
    -0.55
    ODUCT
    -0.52
    iolet
    -0.51
     greatness
    -0.51
     charism
    -0.51
    bard
    -0.48
     heterogeneity
    -0.47
     fundament
    -0.47
    POSITIVE LOGITS
    istries
    0.65
    bestos
    0.56
     vendor
    0.56
    steel
    0.55
     malfunction
    0.53
    onite
    0.52
    itored
    0.52
    gradient
    0.51
     audit
    0.51
    ovo
    0.51
    Activations Density 1.252%

    No Known Activations