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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
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    Explanations

    mentions of the location "Brooklyn."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Brooklyn" and its associated entities

    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
    ional
    -0.93
    orter
    -0.85
    orters
    -0.78
    inen
    -0.77
    OPLE
    -0.75
    wcsstore
    -0.75
    isman
    -0.72
    emic
    -0.70
    orial
    -0.69
    orted
    -0.66
    POSITIVE LOGITS
     Nets
    1.12
     Heights
    0.97
     Bridge
    0.94
     borough
    0.94
     Borough
    0.94
     Dodgers
    0.83
     Nine
    0.79
     Jenner
    0.79
     Brooklyn
    0.78
    ites
    0.78
    Activations Density 0.038%

    No Known Activations