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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. 8673
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    INDEX
    Explanations

    explanations or background information in a passage

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce explanations or context

    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
     bidder
    -0.71
    ouble
    -0.71
     replacements
    -0.65
     substitutes
    -0.65
    amaru
    -0.64
    earchers
    -0.62
     tack
    -0.61
     added
    -0.61
    odied
    -0.60
    unning
    -0.60
    POSITIVE LOGITS
     Firstly
    1.14
    Firstly
    1.14
     Suppose
    1.10
    Overview
    1.01
    Introduction
    0.96
    First
    0.96
     Basics
    0.95
    Before
    0.91
    Background
    0.87
     Initially
    0.87
    Activations Density 0.497%

    No Known Activations