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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. 9-RES-JB
    11. 4925
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    Explanations

    phrases related to progress and development

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to sustainability and progress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wed
    -0.59
     seq
    -0.58
    athi
    -0.58
    Limited
    -0.58
     Feather
    -0.58
     Defendants
    -0.57
     lett
    -0.56
     misc
    -0.55
     inconsist
    -0.54
     dissenting
    -0.54
    POSITIVE LOGITS
    livion
    1.30
     destinations
    1.05
     milestones
    0.99
     immortality
    0.98
     fruition
    0.97
    pletion
    0.97
    thood
    0.97
     destination
    0.92
    enment
    0.91
    iphany
    0.87
    Activations Density 0.516%

    No Known Activations