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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. 10-RES-JB
    11. 24445
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    INDEX
    Explanations

    mentions of specific numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to advancements in technology and robotics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     empt
    -0.82
     condol
    -0.82
     apologize
    -0.81
     apologizing
    -0.80
     apology
    -0.79
     eviction
    -0.76
     Seasons
    -0.75
    cens
    -0.75
     apologized
    -0.74
     grievance
    -0.74
    POSITIVE LOGITS
     technologies
    1.46
     technology
    1.41
     prototypes
    1.40
     futuristic
    1.40
     patents
    1.38
     inventions
    1.37
     prototype
    1.34
     inventor
    1.34
     DAR
    1.33
     technological
    1.33
    Activations Density 0.965%

    No Known Activations