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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. 22943
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    Explanations

    words related to revisiting or reapplying something

    oai_token-act-pair · gpt-3.5-turbo

    words related to revisiting or re-examining past decisions or events

    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
     Filip
    -0.73
     Filipino
    -0.69
    bags
    -0.66
    ahi
    -0.65
    ians
    -0.64
    chain
    -0.63
    Fi
    -0.62
    oret
    -0.62
    hemat
    -0.62
    Stop
    -0.62
    POSITIVE LOGITS
     recapt
    0.93
     reintrodu
    0.90
     reused
    0.88
     reuse
    0.85
     revisit
    0.84
     reinvest
    0.82
     revis
    0.81
     recons
    0.81
     rehe
    0.81
     recollection
    0.80
    Activations Density 0.019%

    No Known Activations