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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. 1-RES-JB
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    Explanations

    words related to an ecosystem, especially when associated with technology or business contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to ecosystems in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rik
    -0.86
    ritz
    -0.84
    ilts
    -0.81
    ibur
    -0.75
    idel
    -0.72
    rah
    -0.72
    76561
    -0.71
    nance
    -0.71
    uns
    -0.70
    arah
    -0.69
    POSITIVE LOGITS
     ecosystem
    1.48
     ecosystems
    1.34
     ecology
    0.94
    cosystem
    0.93
     synergy
    0.80
     Communities
    0.78
     flora
    0.75
     inver
    0.74
     footprint
    0.72
    uador
    0.71
    Activations Density 0.010%

    No Known Activations