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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. 10-RES-JB
    6. 23109
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    Explanations

    acronyms related to government bodies or procedures

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations and acronyms related to political or governmental organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forth
    -0.68
    given
    -0.66
    lift
    -0.66
    king
    -0.65
    esville
    -0.64
    face
    -0.63
    wards
    -0.63
    bows
    -0.63
     priv
    -0.63
    panic
    -0.61
    POSITIVE LOGITS
    SA
    1.13
    ACA
    1.11
    IDS
    1.06
    AN
    1.02
    ENA
    1.02
    MA
    1.01
    HAEL
    1.00
    WA
    1.00
    KA
    1.00
    AR
    1.00
    Activations Density 0.123%

    No Known Activations