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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. 9-RES-JB
    11. 18156
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    Explanations

    locations, particularly cities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographical locations and cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bandwagon
    -0.59
     plank
    -0.59
     brut
    -0.59
     bre
    -0.57
     Cabin
    -0.57
     Moment
    -0.56
     Boko
    -0.54
    venge
    -0.53
     CBI
    -0.53
     ransom
    -0.53
    POSITIVE LOGITS
     suburb
    0.94
     Heights
    0.89
    shire
    0.86
    atche
    0.83
     Township
    0.83
     township
    0.78
     Springs
    0.77
    ;;;;;;;;;;;;
    0.77
     City
    0.76
    town
    0.75
    Activations Density 0.289%

    No Known Activations