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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. 4500
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    Explanations

    phrases related to various programs or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    references to various programs or initiatives

    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
    Downloadha
    -0.68
    icas
    -0.65
    âĵĺ
    -0.64
     senses
    -0.63
     oxide
    -0.63
    ailable
    -0.62
     spirits
    -0.62
    ildo
    -0.62
    theless
    -0.61
    æĢ
    -0.60
    POSITIVE LOGITS
    mable
    1.14
    mers
    1.12
     Coordinator
    0.98
    matically
    0.93
     Program
    0.90
    mes
    0.89
     Manager
    0.88
    zee
    0.87
    ional
    0.84
    igree
    0.83
    Activations Density 0.012%

    No Known Activations