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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. 1-RES-JB
    11. 11189
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    Explanations

    words related to regaining control or possession

    oai_token-act-pair · gpt-3.5-turbo

    terms related to reclaiming or taking back control or possession

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ECD
    -0.84
    OTOS
    -0.71
     Hau
    -0.68
    elo
    -0.67
    ahi
    -0.65
     recommendation
    -0.62
    Die
    -0.62
     Grimm
    -0.61
    OL
    -0.59
     circumstance
    -0.59
    POSITIVE LOGITS
     reclaim
    1.23
     reclaimed
    1.12
    veland
    1.06
    itures
    0.90
    ModLoader
    0.83
    ibility
    0.79
     recapt
    0.78
    utics
    0.76
    ury
    0.75
     reused
    0.75
    Activations Density 0.006%

    No Known Activations