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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. 24571
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    Explanations

    locations and cities paired with information such as events or organizations

    oai_token-act-pair · gpt-3.5-turbo

    geographical locations, particularly in the context of addresses and cities

    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
     replacements
    -0.65
     accompl
    -0.65
     coh
    -0.63
     helpers
    -0.61
     brackets
    -0.61
     subordinates
    -0.61
     veter
    -0.60
     antib
    -0.59
     streng
    -0.59
     shields
    -0.59
    POSITIVE LOGITS
    hester
    0.76
    aucuses
    0.74
    ptroller
    0.72
     Dept
    0.67
    ember
    0.66
    FINE
    0.66
     Springer
    0.66
    ells
    0.65
    ESE
    0.64
    Zone
    0.64
    Activations Density 0.127%

    No Known Activations