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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. 9-RES-JB
    11. 15857
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    Explanations

    phrases related to career progression, such as promotions and relegations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to promotion and relegation in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    natureconservancy
    -0.67
     Refuge
    -0.66
    asses
    -0.64
    nia
    -0.62
    sson
    -0.61
    erial
    -0.61
    opic
    -0.61
    hoe
    -0.60
    ns
    -0.59
    ipes
    -0.59
    POSITIVE LOGITS
    xual
    0.80
     thereto
    0.74
    pires
    0.73
     NEC
    0.70
    able
    0.67
    ishment
    0.66
    onto
    0.64
    itism
    0.64
     prospect
    0.64
    SHIP
    0.64
    Activations Density 0.074%

    No Known Activations