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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
    11. 20359
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    Explanations

    references to the city of Paris in documents

    oai_token-act-pair · gpt-3.5-turbo

    references to the Paris Agreement and its context

    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
    ownt
    -0.80
    ramid
    -0.79
    verbs
    -0.72
    ULT
    -0.71
    Redd
    -0.71
    served
    -0.70
    FTWARE
    -0.67
    bish
    -0.66
    OWS
    -0.64
    serving
    -0.64
    POSITIVE LOGITS
     Paris
    1.03
    furt
    1.03
     Hilton
    1.02
    ienne
    0.97
    Paris
    0.87
     Mé
    0.79
     Marse
    0.79
    neau
    0.77
    etta
    0.77
     Hebdo
    0.77
    Activations Density 0.010%

    No Known Activations