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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. 2-RES-JB
    11. 6246
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    Explanations

    numerical sequences and model names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or events related to art and culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå
    -0.51
    Reason
    -0.46
    ãĤ®
    -0.45
    unin
    -0.45
    illions
    -0.44
    farious
    -0.44
    terms
    -0.44
    Dispatch
    -0.43
    erous
    -0.43
    VALUE
    -0.42
    POSITIVE LOGITS
    ĵĺ
    0.54
     âĢº
    0.47
     lett
    0.47
     âĵĺ
    0.46
    byss
    0.45
    hens
    0.44
    minist
    0.43
    ymes
    0.41
     âľĵ
    0.41
     humanoid
    0.41
    Activations Density 4.919%

    No Known Activations