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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. 4899
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    Explanations

    phrases related to legal or official interpretations

    oai_token-act-pair · gpt-3.5-turbo

    references to interpretation in 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
    Interstitial
    -0.77
     Indust
    -0.72
     Rath
    -0.71
     Empires
    -0.71
    uster
    -0.67
     CEOs
    -0.65
    val
    -0.65
     Habit
    -0.65
    wealth
    -0.65
    Rail
    -0.64
    POSITIVE LOGITS
     interpretation
    1.34
     interpretations
    1.29
     interpreting
    1.11
     Interpret
    1.04
     guiActiveUn
    1.02
     interpret
    0.99
     interpre
    0.98
     meanings
    0.90
     misinterpret
    0.84
     accur
    0.80
    Activations Density 0.007%

    No Known Activations