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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. 7-RES-JB
    11. 14217
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    Explanations

    Words related to software development technologies or tools

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific terms related to technology, software, and digital systems

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    mble
    -0.85
    assetsadobe
    -0.76
    çĶ°
    -0.75
    ccording
    -0.63
    ģĸ
    -0.63
    ¶ħ
    -0.63
    hement
    -0.62
    wagen
    -0.62
     ende
    -0.61
    Downloadha
    -0.58
    POSITIVE LOGITS
    ahime
    0.59
    endif
    0.58
     Kurdistan
    0.58
    orig
    0.56
    ageddon
    0.55
     Era
    0.54
    avia
    0.54
    ropolis
    0.54
    idine
    0.53
     Vegas
    0.52
    Activations Density 0.338%

    No Known Activations