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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. 7-RES-JB
    11. 22709
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    Explanations

    phrases related to the arrival of people or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of arrival, particularly in the context of newcomers or new entities coming into a place

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ovember
    -0.84
    ethical
    -0.84
    nc
    -0.80
     tiss
    -0.78
    verbs
    -0.75
    cells
    -0.73
    harm
    -0.70
     quir
    -0.70
    Cola
    -0.69
     Marketable
    -0.68
    POSITIVE LOGITS
     arrivals
    0.82
     arrival
    0.78
     Arri
    0.78
     reception
    0.74
    ãĥ¼ãĥĨãĤ£
    0.73
     INTO
    0.73
     Loot
    0.70
     kickoff
    0.70
     disembark
    0.68
     Takeru
    0.68
    Activations Density 0.044%

    No Known Activations