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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. 4-RES-JB
    11. 14675
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    Explanations

    phrases related to industrial plants or manufacturing facilities

    oai_token-act-pair · gpt-3.5-turbo

    references to industrial plants

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

    No Comments

    Negative Logits
    */(
    -1.00
    CHAT
    -0.80
    yip
    -0.79
    theless
    -0.76
    dash
    -0.76
    laus
    -0.73
    ROR
    -0.73
    etheless
    -0.72
    vernment
    -0.71
    deen
    -0.70
    POSITIVE LOGITS
     plants
    0.83
    inery
    0.77
    arding
    0.75
    ronics
    0.75
    OY
    0.73
    arded
    0.72
    places
    0.71
    plant
    0.71
     facility
    0.70
     facilities
    0.70
    Activations Density 0.012%

    No Known Activations