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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. 2-RES-JB
    11. 7782
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    Explanations

    references to different types of wells

    oai_token-act-pair · gpt-3.5-turbo

    references to oil wells

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶģ
    -0.75
    IENCE
    -0.75
    RAW
    -0.69
    SHIP
    -0.69
    íķ
    -0.68
    izophren
    -0.66
    IENT
    -0.65
     Dys
    -0.64
     recogn
    -0.63
     Neutral
    -0.61
    POSITIVE LOGITS
     wells
    1.07
     drilled
    1.01
    chool
    0.86
    esian
    0.85
    inery
    0.82
     groundwater
    0.78
     drilling
    0.77
    lings
    0.77
    ards
    0.77
     situated
    0.76
    Activations Density 0.005%

    No Known Activations