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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. 16856
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    Explanations

    numerical values or codes at the end of sentences

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or personal narrative style in the text

    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
     mathemat
    -0.93
     pestic
    -0.82
     therap
    -0.80
     Seym
    -0.79
    eatures
    -0.74
    raints
    -0.74
     myster
    -0.72
    iatus
    -0.72
    orial
    -0.71
    undai
    -0.71
    POSITIVE LOGITS
    ï¸ı
    1.13
    fter
    0.94
    ĺ
    0.94
    âĹ¼
    0.93
    log
    0.85
    rd
    0.85
    lean
    0.83
    ¼
    0.79
    Ł
    0.79
    ãĥĥãĥī
    0.78
    Activations Density 0.032%

    No Known Activations