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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 7428
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    Explanations

    words related to location, particularly referencing the city "Toronto."

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "on" and other location or action indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Camb
    -0.68
     fault
    -0.67
     Virgin
    -0.65
     MSM
    -0.63
     Verse
    -0.61
     Canaan
    -0.60
     surv
    -0.59
     illeg
    -0.59
     discriminating
    -0.57
     LIA
    -0.57
    POSITIVE LOGITS
    cot
    0.86
    ulum
    0.85
    oots
    0.83
    hiba
    0.82
    hing
    0.80
    ango
    0.79
    opot
    0.79
    oos
    0.77
    ule
    0.76
    edo
    0.76
    Activations Density 0.098%

    No Known Activations