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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. 9-RES-JB
    11. 23207
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    Explanations

    keywords related to software development such as class names, methods, and programming language syntax

    oai_token-act-pair · gpt-3.5-turbo

    terms related to programming classes and roles in code structure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !).
    -0.74
    .).
    -0.73
    -)
    -0.73
     standpoint
    -0.72
    ]."
    -0.72
    !),
    -0.71
    theless
    -0.70
     thereto
    -0.69
    )."
    -0.69
    ?).
    -0.69
    POSITIVE LOGITS
    ():
    1.28
    (){
    1.25
     ()
    1.06
    ()
    1.02
    WithNo
    0.97
    Controller
    0.96
     {
    0.95
    Adapter
    0.92
    Service
    0.91
    Callback
    0.90
    Activations Density 0.090%

    No Known Activations