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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. 5662
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    INDEX
    Explanations

    actions and decisions that need to be made

    oai_token-act-pair · gpt-3.5-turbo

    imperative and conditional statements related to decision-making and actions

    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
    pora
    -0.83
    successfully
    -0.75
    etheus
    -0.75
    rimination
    -0.67
    even
    -0.66
    particularly
    -0.66
    ullah
    -0.65
    arta
    -0.64
     extensively
    -0.64
     indeed
    -0.64
    POSITIVE LOGITS
     coincidence
    0.91
    ifiable
    0.80
     laz
    0.80
     plain
    0.79
     random
    0.77
     luck
    0.77
     shitty
    0.76
     dudes
    0.74
     fuckin
    0.72
     curiosity
    0.72
    Activations Density 0.249%

    No Known Activations