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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. 3-RES-JB
    11. 15830
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    INDEX
    Explanations

    acronyms related to organizations or groups

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or events related to "SW" or "SE"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    staking
    -0.82
    ãĤ¹ãĥĪ
    -0.81
    ãĤ¶
    -0.75
    jury
    -0.74
    cancer
    -0.70
    panic
    -0.70
     circumstance
    -0.66
    historic
    -0.66
    pora
    -0.66
     caution
    -0.66
    POSITIVE LOGITS
    SW
    1.14
    TOR
    1.12
    IFT
    1.06
    ITCH
    0.99
    rup
    0.96
    OW
    0.94
    izoph
    0.92
    SD
    0.90
    IU
    0.90
    SL
    0.85
    Activations Density 0.005%

    No Known Activations