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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. 9-RES-JB
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    Explanations

    references to industrial facilities and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to various industrial facilities and their related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Anonymous
    -0.70
    olicited
    -0.67
    antics
    -0.66
    cipled
    -0.64
    raised
    -0.63
     FANTASY
    -0.62
    ++;
    -0.61
    AUD
    -0.61
    urrencies
    -0.59
    FORE
    -0.59
    POSITIVE LOGITS
     facility
    1.39
    atorium
    1.32
     station
    1.31
     depot
    1.26
     Facility
    1.21
     facilities
    1.19
     tower
    1.18
     precinct
    1.16
     plaza
    1.14
     hut
    1.12
    Activations Density 0.448%

    No Known Activations