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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. 2-RES-JB
    11. 11815
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    Explanations

    words related to locations, especially the city of Bangalore

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and entities associated with Bangalore

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isphere
    -1.07
    ationally
    -0.94
    rine
    -0.92
    nel
    -0.88
    istors
    -0.88
    alties
    -0.87
    ited
    -0.87
    ibel
    -0.86
    seys
    -0.86
    itent
    -0.84
    POSITIVE LOGITS
     Delay
    0.72
     Clever
    0.72
     Kush
    0.70
     Bangalore
    0.70
     Ame
    0.69
     cx
    0.68
     Mut
    0.66
     Naz
    0.66
    aign
    0.66
     Mobility
    0.64
    Activations Density 0.045%

    No Known Activations