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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. 3-RES-JB
    11. 24308
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    Explanations

    words related to official documents or titles

    oai_token-act-pair · gpt-3.5-turbo

    references to resolutions or policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    matically
    -0.72
    DragonMagazine
    -0.68
    aneers
    -0.65
     Icelandic
    -0.63
    rious
    -0.62
     pound
    -0.61
     hints
    -0.60
    tips
    -0.60
     CMS
    -0.60
    =-=-=-=-=-=-=-=-
    -0.59
    POSITIVE LOGITS
    olutions
    1.27
    olve
    1.25
    idency
    1.21
    istor
    1.15
    olved
    1.15
    idence
    1.14
    olves
    1.12
    erves
    1.09
    olver
    1.07
    istant
    1.06
    Activations Density 0.009%

    No Known Activations