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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. 1-RES-JB
    6. 11938
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    Explanations

    keywords related to pieces of information or small amounts of content

    oai_token-act-pair · gpt-3.5-turbo

    various forms of textual units or sections, particularly related to excerpts or small portions of content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undai
    -0.74
    Ax
    -0.73
    die
    -0.70
    dar
    -0.69
    gged
    -0.65
    rolog
    -0.65
     independents
    -0.65
     grav
    -0.63
    sen
    -0.63
    da
    -0.62
    POSITIVE LOGITS
     snippets
    1.19
     snippet
    1.04
     guiActiveUn
    0.98
    ortun
    0.84
    DragonMagazine
    0.78
     snipp
    0.77
    atis
    0.75
     glimpse
    0.75
    aneous
    0.74
     macros
    0.74
    Activations Density 0.005%

    No Known Activations