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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. 5456
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    Explanations

    terms related to technical specifications and features

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of stability and structure in different contexts

    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
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    Negative Logits
    ernaut
    -0.68
    went
    -0.65
    icum
    -0.64
    apult
    -0.60
    wrote
    -0.59
    Chicken
    -0.59
    actionDate
    -0.59
    Community
    -0.59
    thora
    -0.58
    alyst
    -0.58
    POSITIVE LOGITS
     situations
    1.20
     types
    1.13
    +.
    1.13
     setups
    1.12
     scenarios
    1.11
     environments
    1.09
     contexts
    1.07
     alike
    1.06
     conversions
    1.03
     cases
    1.03
    Activations Density 0.504%

    No Known Activations