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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. 12017
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    Explanations

    references to high stakes or importance in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the level of risk or importance in various contexts

    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
    ufact
    -0.76
    ICA
    -0.75
    ergy
    -0.75
    gements
    -0.72
    riot
    -0.72
    onyms
    -0.70
    ocide
    -0.69
    urally
    -0.68
    nered
    -0.68
    eric
    -0.68
    POSITIVE LOGITS
     stakes
    1.21
    holder
    0.91
     stake
    0.82
    cape
    0.76
     ante
    0.76
    pole
    0.71
     pul
    0.71
     srfAttach
    0.70
     gamble
    0.69
     crane
    0.68
    Activations Density 0.006%

    No Known Activations