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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. 8-RES-JB
    11. 10582
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    Explanations

    phrases describing the collection or consolidation of items into one place or unit

    oai_token-act-pair · gpt-3.5-turbo

    references to combining or consolidating multiple items into a single entity or location

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enhagen
    -0.82
    andon
    -0.78
    illard
    -0.73
    lov
    -0.71
    dar
    -0.70
    uez
    -0.69
    IRO
    -0.67
    arcity
    -0.65
    young
    -0.62
    emis
    -0.62
    POSITIVE LOGITS
     tidy
    1.08
     cohesive
    1.03
     neat
    0.96
     nutshell
    0.92
     bundle
    0.87
     chronological
    0.86
     package
    0.86
     coherent
    0.85
     convenient
    0.85
     manageable
    0.82
    Activations Density 0.175%

    No Known Activations