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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. 6-RES-JB
    11. 18689
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    Explanations

    references to locations, especially focusing on Shanghai

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Shanghai and words related to rescue or assistance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reper
    -0.70
     livest
    -0.67
    foot
    -0.67
     Roses
    -0.65
     nob
    -0.65
    llan
    -0.64
    ignty
    -0.63
    iod
    -0.61
    BILITIES
    -0.61
    lier
    -0.61
    POSITIVE LOGITS
    ists
    1.07
    ator
    1.07
    ational
    1.05
    igans
    1.00
    ues
    0.99
    ators
    0.99
    ation
    0.99
    rats
    0.94
    ized
    0.90
    obal
    0.90
    Activations Density 0.058%

    No Known Activations