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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. 4-RES-JB
    11. 20519
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    Explanations

    locations or places, particularly focusing on neighborhoods or specific areas

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to geographical locations or neighborhoods

    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
    adic
    -0.86
    ivity
    -0.84
    ional
    -0.83
    uments
    -0.82
    onom
    -0.78
    isc
    -0.78
    ificial
    -0.77
    cies
    -0.77
    ÃŃa
    -0.77
    ischer
    -0.77
    POSITIVE LOGITS
     Heights
    1.08
     Borough
    0.87
    burgh
    0.84
    dale
    0.82
    creen
    0.82
    tones
    0.81
    borough
    0.80
     Village
    0.77
    nuts
    0.75
    east
    0.75
    Activations Density 0.022%

    No Known Activations