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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to the location "Brooklyn"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Brooklyn" in various contexts

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

    No Comments

    Negative Logits
    orter
    -0.84
    ional
    -0.84
    inen
    -0.80
    ivia
    -0.78
    vana
    -0.76
    veh
    -0.76
    oler
    -0.73
    wcsstore
    -0.72
    arently
    -0.72
    emic
    -0.72
    POSITIVE LOGITS
     Borough
    1.15
     Nets
    1.10
     borough
    1.03
     Brooklyn
    0.97
     Bridge
    0.94
    ites
    0.93
     Heights
    0.91
     Queens
    0.86
    town
    0.85
     skyline
    0.83
    Activations Density 0.014%

    No Known Activations