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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. 11-RES-JB
    11. 6866
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    INDEX
    Explanations

    positive adjectives and qualities to describe someone or something

    oai_token-act-pair · gpt-3.5-turbo

    positive and negative adjectives describing people, relationships, or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    steps
    -0.91
    types
    -0.87
    killers
    -0.87
    mits
    -0.86
    classes
    -0.82
    pieces
    -0.81
     Measures
    -0.81
    measures
    -0.81
     closures
    -0.80
    osures
    -0.79
    POSITIVE LOGITS
     knack
    1.28
     reputation
    1.28
     grasp
    1.18
     pedigree
    1.15
     penchant
    1.14
     track
    1.08
     foothold
    1.06
     affinity
    1.06
     relationship
    1.06
     history
    1.05
    Activations Density 0.198%

    No Known Activations