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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. 2-RES-JB
    11. 556
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    Explanations

    geographical location names, particularly cities

    oai_token-act-pair · gpt-4-turbo

    terms related to specific locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographic locations, particularly cities and towns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    requisite
    -0.67
    binary
    -0.65
    --------------------------------------------------------
    -0.64
    qualified
    -0.62
    ITION
    -0.62
    chrom
    -0.62
     sidew
    -0.62
     horizontal
    -0.60
     mitigating
    -0.60
     dysph
    -0.60
    POSITIVE LOGITS
     Moines
    1.24
    hyde
    0.90
    aukee
    0.87
    erville
    0.83
     Rapids
    0.82
    vill
    0.78
     Register
    0.78
    ites
    0.77
    borough
    0.76
    ippi
    0.74
    Activations Density 0.014%

    No Known Activations