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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. 4-RES-JB
    11. 20384
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    INDEX
    Explanations

    phrases related to implementing various types of measures or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to security and precautionary actions

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

    No Comments

    Negative Logits
    \\\\\\\\
    -0.70
    aples
    -0.69
    lez
    -0.67
    lique
    -0.65
    raid
    -0.63
    arton
    -0.63
    POSE
    -0.63
     hears
    -0.62
    roe
    -0.62
    stown
    -0.61
    POSITIVE LOGITS
     measures
    1.04
    terday
    0.96
    measures
    0.89
     Measures
    0.83
    iblings
    0.80
    autions
    0.80
     measure
    0.78
    ablishment
    0.76
    urgical
    0.76
    arians
    0.75
    Activations Density 0.017%

    No Known Activations