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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

    locations in San Francisco

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city "San" along with its associated locations

    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
    ilater
    -0.76
    theless
    -0.74
    xual
    -0.69
    ï¸ı
    -0.69
    anwhile
    -0.69
     clipboard
    -0.67
    llor
    -0.67
    llers
    -0.66
     confir
    -0.64
     Wink
    -0.64
    POSITIVE LOGITS
    San
    1.17
     Francisco
    1.15
     Diego
    1.09
     Antonio
    1.02
    ctuary
    0.95
    ibel
    0.93
    ction
    0.93
    rament
    0.90
     San
    0.89
     Angeles
    0.87
    Activations Density 0.015%

    No Known Activations