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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. 6-RES-JB
    11. 2741
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    Explanations

    references to various types of ecosystems

    oai_token-act-pair · gpt-3.5-turbo

    references to ecosystems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amiya
    -0.78
    ilts
    -0.74
    quote
    -0.73
    Fil
    -0.73
    ners
    -0.72
    nell
    -0.72
    vor
    -0.71
    ibur
    -0.69
    ahon
    -0.69
    ining
    -0.69
    POSITIVE LOGITS
     ecosystem
    1.17
     ecosystems
    1.12
     ecology
    0.95
     flora
    0.91
     richness
    0.82
     habitat
    0.81
     vegetation
    0.80
     footprint
    0.78
     composition
    0.77
     biodiversity
    0.77
    Activations Density 0.021%

    No Known Activations