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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

    references to natural environments like wilderness

    oai_token-act-pair · gpt-3.5-turbo

    references to wilderness or natural environments

    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
    abolic
    -0.74
    odor
    -0.71
    akin
    -0.71
    eon
    -0.69
    abol
    -0.67
    orah
    -0.67
    rupulous
    -0.67
    Americans
    -0.67
    mus
    -0.65
    sei
    -0.64
    POSITIVE LOGITS
     wilderness
    1.19
    erness
    1.13
     Wilderness
    1.06
     wasteland
    0.88
    ocene
    0.88
     paradise
    0.81
     frontier
    0.80
    pedia
    0.75
     Survival
    0.75
     jungle
    0.75
    Activations Density 0.006%

    No Known Activations