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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. 1-RES-JB
    11. 420
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    Explanations

    phrases related to information encoding or protection

    oai_token-act-pair · gpt-3.5-turbo

    terms related to encoding and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    butt
    -0.77
    history
    -0.72
     Historical
    -0.70
     Tales
    -0.68
    Tips
    -0.67
     Morales
    -0.67
    Account
    -0.67
     Franklin
    -0.66
     Richards
    -0.66
     Fowler
    -0.66
    POSITIVE LOGITS
     enc
    1.23
    ounters
    0.96
     arrang
    0.96
    oding
    0.93
    oded
    0.91
    rypted
    0.90
    umbered
    0.90
    oder
    0.86
    ounter
    0.86
    ryption
    0.85
    Activations Density 0.004%

    No Known Activations