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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. 3483
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    Explanations

    verbs related to the action of gaining something back or recovering something

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with recovery or regaining possession

    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
    ahi
    -0.79
    bag
    -0.66
    cas
    -0.65
    QB
    -0.64
     Hau
    -0.64
    Statement
    -0.64
    raid
    -0.62
    Family
    -0.61
    Die
    -0.61
    boy
    -0.60
    POSITIVE LOGITS
     regain
    1.11
     regained
    1.05
     recapt
    1.03
    chwitz
    0.97
     reclaim
    0.89
    overy
    0.83
    issance
    0.81
    imar
    0.80
     reuse
    0.80
    prise
    0.78
    Activations Density 0.015%

    No Known Activations