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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. 6-RES-JB
    11. 3095
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    Explanations

    phrases related to specific capitalized acronyms or codes

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to regulatory or organizational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiIcon
    -0.69
    iary
    -0.68
     Pwr
    -0.67
    acters
    -0.63
    given
    -0.63
    requ
    -0.63
     Zot
    -0.63
     Lud
    -0.62
    hold
    -0.62
    pron
    -0.61
    POSITIVE LOGITS
    ETS
    1.14
    ET
    1.14
    AR
    1.11
    TA
    1.11
    FU
    1.10
    OX
    1.06
    FI
    1.05
    OT
    1.05
    MAP
    1.03
    ER
    1.03
    Activations Density 0.122%

    No Known Activations