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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17661
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    Explanations

    terms related to computer programming and submodules

    oai_token-act-pair · gpt-3.5-turbo

    references to various submodules or components in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILLE
    -0.85
     Qiao
    -0.82
    Ö¼
    -0.77
     Gael
    -0.75
    ORED
    -0.74
    OHN
    -0.73
     Zurich
    -0.72
    assetsadobe
    -0.72
     Lauder
    -0.72
    FORE
    -0.72
    POSITIVE LOGITS
    missive
    1.33
    mitter
    1.22
    sequent
    1.16
    ordinate
    1.16
    species
    1.11
    mers
    1.10
    atomic
    1.09
    sequently
    1.09
    verting
    1.08
    classes
    1.07
    Activations Density 0.014%

    No Known Activations