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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. 4-RES-JB
    11. 20342
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    Explanations

    words related to capturing, taking back, or recovering something or a situation

    oai_token-act-pair · gpt-3.5-turbo

    words related to capturing or taking back control

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

    No Comments

    Negative Logits
    ahi
    -0.78
    bag
    -0.66
    Fi
    -0.65
    Http
    -0.63
    ī
    -0.62
    chains
    -0.61
    iaries
    -0.61
    bags
    -0.61
    wi
    -0.61
    boss
    -0.60
    POSITIVE LOGITS
     recapt
    1.07
     regained
    0.99
     regain
    0.94
     reclaim
    0.87
     reuse
    0.87
    issance
    0.86
    prise
    0.85
    chwitz
    0.84
     retake
    0.84
     reused
    0.81
    Activations Density 0.032%

    No Known Activations