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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. 9-RES-JB
    11. 23894
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    Explanations

    acronyms related to a specific system or tool, possibly in a professional or technical context

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific coding structure or format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.90
    chuk
    -0.84
    chest
    -0.82
    liness
    -0.80
    chel
    -0.80
    iors
    -0.74
    ku
    -0.70
    glers
    -0.70
    geist
    -0.70
     Gors
    -0.69
    POSITIVE LOGITS
    EDIT
    1.16
    OSS
    1.10
    ASH
    1.02
    ACK
    1.01
    ISIS
    0.99
    PF
    0.97
    AMP
    0.91
    IME
    0.91
    UNCH
    0.89
    OOK
    0.89
    Activations Density 0.018%

    No Known Activations