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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. 10-RES-JB
    11. 23222
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    INDEX
    Explanations

    adjectives describing size and scale

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate complex or detailed actions and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Decre
    -0.66
    unes
    -0.66
     Lowry
    -0.64
     Clothing
    -0.64
    berries
    -0.63
     Hide
    -0.62
     FG
    -0.61
    prev
    -0.60
    ãĤ©
    -0.60
    yna
    -0.60
    POSITIVE LOGITS
     larger
    0.96
     massive
    0.94
     bigger
    0.90
     serious
    0.90
     elaborate
    0.89
     gigantic
    0.89
     Massive
    0.89
     huge
    0.89
     sophisticated
    0.87
     full
    0.87
    Activations Density 0.376%

    No Known Activations