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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 2625
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    Explanations

    mentions or references, especially with additional context provided by the surrounding text

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "with" and its various contexts or usages

    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
    ãģ®éŃĶ
    -0.68
    EMBER
    -0.67
    é¾
    -0.65
    erate
    -0.65
    Fed
    -0.63
    any
    -0.61
    Merit
    -0.60
    atile
    -0.60
    iant
    -0.59
    wcs
    -0.59
    POSITIVE LOGITS
    stood
    1.55
    draw
    1.48
    drawn
    1.41
     regards
    1.19
     regard
    1.18
    holding
    1.12
     apologies
    1.12
    standing
    1.08
     whom
    1.07
    held
    1.04
    Activations Density 0.125%

    No Known Activations