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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. 5605
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    Explanations

    words related to nature, specifically plants and animals

    oai_token-act-pair · gpt-3.5-turbo

    words related to vegetation and natural features

    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
    =-=-=-=-=-=-=-=-
    -0.65
    CLASSIFIED
    -0.65
    KNOWN
    -0.63
     srf
    -0.63
     PROG
    -0.62
    ãĤ´ãĥ³
    -0.62
     AUT
    -0.61
    BAT
    -0.61
     MFT
    -0.61
    BILITIES
    -0.61
    POSITIVE LOGITS
     littered
    0.93
     containing
    0.93
    cape
    0.85
    cale
    0.85
    ucker
    0.85
    creen
    0.84
    pots
    0.82
    tery
    0.80
    layer
    0.80
    oft
    0.80
    Activations Density 0.168%

    No Known Activations