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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. 3-RES-JB
    11. 8811
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    Explanations

    words related to natural environments, specifically focusing on wilderness

    oai_token-act-pair · gpt-3.5-turbo

    references to wilderness and natural environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahon
    -0.74
    akin
    -0.73
    choes
    -0.69
    odor
    -0.69
    orah
    -0.68
    ocard
    -0.66
    poral
    -0.65
    rupulous
    -0.65
    ochet
    -0.64
    activation
    -0.63
    POSITIVE LOGITS
    erness
    1.05
     Wilderness
    0.91
     wilderness
    0.91
     Survival
    0.74
    geoning
    0.72
    pedia
    0.72
     Carib
    0.72
     frontier
    0.71
    byss
    0.69
    itaire
    0.69
    Activations Density 0.007%

    No Known Activations